𝔭𝔞𝔦𝔫 — CS2 Stats

CA76561198198466171[U:1:238200443]Steam profile ↗✓ No bans

2,641Tracked matches55%Win rate2020Tracked since

6,337Hours in CS

CSDB Rating6.2 SolidPositional Player

Premier CS Rating16,103Purple band · top ~24% of ranked players (population est.)

CSDB Leaderboard#124293 of 238019 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+356Premier CS Rating · 15,747 → 16,103

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 28 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,103 +4,400 5 Sept – 22 Sept · 14 days played

16,103Peak Premier in tracked matches

19Days played since 2026-08-28

Premier CS Rating

At peak — 16,103
Next: Pink band at 20,000 — 3,897 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-06
Light Blue band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	161	—	—
Win rate	53%	—	—
K/D	1.09	—	—
Headshot %	53%	—	—

Measured 28 Aug 2026 → 22 Sep 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,082), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 6 median	Level 7 median	vs Level 7
Headshot rate	47.5%	44.8%	45.7%	above
Shot accuracy	16.1%	12.5%	12.7%	above
Kill/death ratio	0.98	1.04	1.05	0.07 short
Match win rate	41.7%	45.2%	45.7%	4.0% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning77

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWWLWWWLLLW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −6.2pp headshot accuracy · −19ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 24%
Avg reaction 506ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 491ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 501ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim7.5

Utility3.0

Positioning7.7

Opening Duels7.0

Clutch3.8

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 74% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.5

Positioning7.7

Utility3.0

Mechanics2.8

Opening Duels9.0

Win Impact6.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time517ms−39ms

first ⅓ avg 556ms → last ⅓ avg 517ms

Headshot accuracy23.4%−0.8%

first ⅓ avg 24.1% → last ⅓ avg 23.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.31Best match rating · 11–13 · mirage, 16 Sept →

56%Best headshot accuracy · 3–13 · nuke, 19 Sept →

375msFastest reaction time · 11–13 · inferno, 16 Sept →

13–1Biggest win · mirage, 5 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

9–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 71% over 7dust2Weakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	12–12	50%	0.04
ancient	C	14	6–8	43%	0.00
dust2	D	13	3–10	23%	-0.00
cache	A	11	7–4	64%	0.04
nuke	A	11	6–5	55%	0.02
vertigo	D	9	3–6	33%	0.04
inferno	A	8	5–3	63%	-0.00
anubis	S	7	5–2	71%	0.07
poseidon	—	1	1–0	100%	0.15
train	—	1	1–0	100%	-0.07
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

306,491Lifetime kills

0.98K/D

12,463Matches

41.7%Match win rate

47.5%Headshot % · Top 50% of Level 6 players

16.1%Shot accuracy · Top 25% of Level 6 players

37,630MVPs

6,337Hours (in match)

6,234Bombs planted

3,731Bombs defused

Most-used weapons

AK-4795,917

Desert Eagle54,043

AWP42,822

M4A4 / M4A1-S36,264

P2000 / USP-S25,379

Glock-1810,802

Knife7,827

SSG 083,694

P2503,140

FAMAS2,596

Lifetime map wins

13,362dust2

12,263inferno

7,942vertigo

4,353nuke

3,015cbble

2,343train

504lake

259office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

250Matches

52%Win rate

1.11Avg K/D

81.3ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	57%	1.17	18.4
Dust2	19	47%	1.18	14.9
Ancient	16	56%	1.04	15.9
Anubis	15	40%	1.08	14.8
Cache	8	50%	1.03	18.3
Nuke	8	50%	1.46	17.5
Inferno	5	40%	0.65	11.4
Overpass	1	0%	1.04	25.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.0%Headshot accuracy

33.4%Accuracy (enemy spotted)

39.9%Spray accuracy

62.4%Counter-strafing

8.1°Preaim

515msReaction time

73.5%T opening success

61.9%CT opening success

0.43Enemies flashed / flash

0.6%Flash assists

10.22HE damage / grenade

2.52Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4296 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.03	11%	22 Sept →
vertigo	13–8	0.04	36%	22 Sept →
dust2	9–13	-0.01	19%	21 Sept →
dust2	13–10	0.05	25%	21 Sept →
mirage	13–10	0.04	30%	21 Sept →
cache	13–6	0.01	27%	21 Sept →
dust2	4–13	-0.02	16%	21 Sept →
ancient	10–13	0.01	14%	20 Sept →
dust2	9–13	-0.00	27%	20 Sept →
anubis	13–9	0.04	28%	20 Sept →
inferno	13–6	0.01	29%	20 Sept →
dust2	10–13	-0.00	27%	20 Sept →
ancient	13–5	-0.02	20%	20 Sept →
ancient	15–15	-0.03	27%	19 Sept →
anubis	9–13	0.01	35%	19 Sept →
nuke	3–13	-0.05	56%	19 Sept →
mirage	13–4	0.16	16%	19 Sept →
cache	8–13	0.16	30%	19 Sept →
mirage	8–13	0.12	24%	18 Sept →
cache	13–9	0.11	29%	18 Sept →
poseidon	9–6	0.15	22%	18 Sept →
vertigo	13–16	-0.05	10%	18 Sept →
mirage	13–5	0.09	18%	17 Sept →
nuke	13–7	0.05	13%	17 Sept →
mirage	5–13	-0.01	19%	17 Sept →
ancient	6–13	-0.10	11%	17 Sept →
cache	13–10	0.03	18%	17 Sept →
inferno	13–2	0.10	28%	17 Sept →
anubis	13–6	0.13	17%	17 Sept →
inferno	2–13	-0.08	9%	17 Sept →
mirage	13–11	0.06	26%	16 Sept →
ancient	13–10	0.08	23%	16 Sept →
inferno	13–5	0.05	34%	16 Sept →
inferno	11–13	0.03	25%	16 Sept →
nuke	5–13	0.02	40%	16 Sept →
mirage	11–13	0.31	26%	16 Sept →
ancient	13–2	0.12	40%	16 Sept →
anubis	9–13	0.11	16%	16 Sept →
mirage	7–13	-0.02	26%	15 Sept →
ancient	13–10	-0.04	19%	15 Sept →
mirage	13–11	0.03	24%	14 Sept →
cache	7–2	-0.01	27%	14 Sept →
dust2	13–4	-0.00	26%	14 Sept →
mirage	13–11	0.06	26%	14 Sept →
vertigo	13–5	0.08	33%	14 Sept →
vertigo	10–13	0.21	20%	14 Sept →
cache	13–6	0.07	13%	13 Sept →
inferno	13–8	-0.04	11%	13 Sept →
nuke	16–12	0.02	20%	13 Sept →
vertigo	14–16	-0.01	23%	13 Sept →
nuke	13–10	0.02	22%	13 Sept →
dust2	6–13	-0.03	17%	12 Sept →
vertigo	11–13	-0.04	22%	12 Sept →
mirage	8–13	-0.00	24%	12 Sept →
dust2	10–13	0.02	18%	12 Sept →
train	13–11	-0.07	18%	12 Sept →
mirage	13–10	0.01	18%	11 Sept →
dust2	7–13	0.01	32%	11 Sept →
anubis	16–14	0.08	26%	10 Sept →
mirage	11–13	-0.04	39%	10 Sept →
ancient	13–10	0.00	30%	10 Sept →
inferno	13–10	-0.01	35%	10 Sept →
vertigo	13–3	0.10	32%	10 Sept →
mirage	3–13	-0.02	25%	10 Sept →
overpass	7–13	-0.02	23%	10 Sept →
mirage	4–13	-0.05	14%	10 Sept →
ancient	13–11	-0.05	18%	10 Sept →
cache	7–13	0.01	28%	9 Sept →
ancient	8–13	0.01	28%	9 Sept →
nuke	13–3	0.03	15%	9 Sept →
anubis	13–10	0.04	33%	9 Sept →
nuke	13–10	-0.01	22%	9 Sept →
mirage	3–13	-0.02	21%	9 Sept →
ancient	6–13	0.06	27%	8 Sept →
nuke	5–13	-0.07	17%	8 Sept →
cache	8–13	-0.06	19%	7 Sept →
ancient	9–13	0.03	21%	7 Sept →
mirage	10–13	0.10	22%	7 Sept →
dust2	3–13	-0.06	27%	7 Sept →
cache	13–3	0.20	16%	7 Sept →
mirage	13–10	0.06	31%	7 Sept →
dust2	8–13	0.02	31%	6 Sept →
mirage	9–13	0.09	24%	6 Sept →
ancient	9–13	0.08	19%	6 Sept →
inferno	7–13	-0.05	20%	6 Sept →
cache	10–13	0.00	24%	6 Sept →
vertigo	16–19	0.00	20%	6 Sept →
dust2	13–11	-0.04	17%	6 Sept →
nuke	15–15	0.08	34%	6 Sept →
mirage	13–1	-0.02	17%	5 Sept →
anubis	13–8	0.07	21%	5 Sept →
nuke	6–13	0.05	32%	5 Sept →
nuke	13–9	0.12	22%	5 Sept →
mirage	16–14	0.01	22%	5 Sept →
mirage	10–13	-0.06	30%	5 Sept →
ancient	8–13	-0.08	26%	5 Sept →
cache	13–9	-0.03	32%	5 Sept →
mirage	13–9	0.12	23%	5 Sept →
vertigo	9–13	0.00	22%	5 Sept →
dust2	10–13	0.05	31%	4 Sept →