𝓟𝓸𝓻𝓸 — CS2 Stats

FI76561198962882743[U:1:1002617015]Steam profile ↗✓ No bans

1,214Tracked matches36%Win rate2022Tracked since

1,319Hours in CS7Hrs last 2 wks

CSDB Rating3.7 LearningPositional Player

Premier CS Rating9,612Light Blue band · top ~56.8% of ranked players (population est.)

CSDB Leaderboard#188625 of 260058 tracked

FaceitLevel 4 · 1,000 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,612 +211 24 Aug – 25 Oct · 9 days played

10,114Peak Premier in tracked matches

1,000Highest Faceit ELO seen on CSDB

34Days played since 2026-07-02

Faceit ELO

At peak — 1,000
Next: Level 5 at 1,051 — 51 to go
Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

502 below peak (10,114)
-113 over 30 days · steady
Next: Blue band at 10,000 — 388 to go
Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	43.6%	42.7%	43.8%	meets
Shot accuracy	7.7%	11.2%	12.0%	4.3% short
Kill/death ratio	0.92	0.99	1.02	0.10 short
Match win rate	43.6%	43.9%	44.7%	1.1% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim48

Positioning55

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWTLWLWLWWT

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −0.3pp headshot accuracy · +13ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 20%
Avg reaction 624ms

Last 10

5–3–2 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 19%
Avg reaction 633ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 19%
Avg reaction 627ms

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 (+1.9 against its own average).

Aim4.8

Utility3.2

Positioning5.5

Opening Duels2.1

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 iM 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Areas to improve

Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.8

Positioning5.5

Utility3.2

Mechanics5.1

Opening Duels2.9

Win Impact0.2

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time626ms−39ms

first ⅓ avg 664ms → last ⅓ avg 626ms

Headshot accuracy19.4%−4.2%

first ⅓ avg 23.6% → last ⅓ avg 19.4%

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

0.16Best match rating · 13–5 · cache, 19 Sept →

46%Best headshot accuracy · 13–4 · mirage, 6 Jul →

406msFastest reaction time · 6–13 · inferno, 1 Sept →

13–1Biggest win · mirage, 10 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak

2–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 75% over 8cacheWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	19	10–9	53%	-0.01
mirage	C	16	6–10	38%	-0.01
cache	D	15	3–12	20%	-0.01
vertigo	C	12	5–7	42%	-0.01
dust2	A	11	7–4	64%	0.01
inferno	D	9	2–7	22%	-0.02
anubis	S	8	6–2	75%	-0.01
ancient	A	5	3–2	60%	0.04
train	—	2	0–2	0%	0.06
overpass	—	1	1–0	100%	0.08
office	—	1	0–1	0%	-0.06
shelter	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Lifetime stats

38,140Lifetime kills

0.92K/D

2,720Matches

43.6%Match win rate

43.6%Headshot % · Top 50% of Level 4 players

7.7%Shot accuracy

7,500MVPs

744Hours (in match)

1,211Bombs planted

1,522Bombs defused

Most-used weapons

AK-4712,537

M4A4 / M4A1-S7,132

P2000 / USP-S2,727

AWP2,335

Glock-181,730

MAC-101,577

MP71,424

MP91,221

Galil AR1,103

Desert Eagle864

Lifetime map wins

4,756nuke

2,977vertigo

2,037inferno

1,855dust2

757train

666lake

258office

64cbble

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

Faceit stats

Combat

55Matches

51%Win rate

1.13Avg K/D

80.2ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

30%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	26%	0.80	13.4
Nuke	12	83%	1.25	15.5
Dust2	8	50%	0.84	13.4
Anubis	8	88%	2.37	17.0
Cache	5	20%	0.76	13.6
Ancient	3	33%	0.88	14.7

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.

19.0%Headshot accuracy

28.8%Accuracy (enemy spotted)

30.8%Spray accuracy

72.8%Counter-strafing

9.7°Preaim

630msReaction time

47.8%T opening success

35.1%CT opening success

0.38Enemies flashed / flash

1.6%Flash assists

5.21HE damage / grenade

3.94Flashes / 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 0.3821 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.12% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–2	0.01	15%	27 Oct →
inferno	12–12	-0.03	18%	27 Oct →
nuke	3–13	-0.05	11%	27 Oct →
inferno	13–4	-0.01	23%	27 Oct →
nuke	11–13	-0.01	31%	26 Oct →
mirage	13–9	0.03	12%	26 Oct →
anubis	9–13	-0.06	24%	25 Oct →
ancient	13–8	0.00	18%	25 Oct →
inferno	13–6	-0.06	14%	25 Oct →
mirage	12–12	-0.00	21%	25 Oct →
nuke	13–4	0.08	20%	25 Oct →
cache	1–13	-0.01	16%	25 Oct →
dust2	16–12	0.01	9%	18 Oct →
dust2	13–2	0.03	17%	18 Oct →
mirage	10–13	0.02	25%	18 Oct →
ancient	13–3	0.12	18%	18 Oct →
inferno	11–13	0.00	23%	18 Oct →
cache	8–13	0.02	32%	18 Oct →
dust2	9–13	0.00	19%	18 Oct →
inferno	3–13	-0.07	11%	16 Oct →
anubis	7–13	-0.05	13%	12 Oct →
vertigo	9–13	-0.01	22%	12 Oct →
nuke	10–13	-0.04	18%	12 Oct →
nuke	13–4	-0.07	18%	12 Oct →
cache	8–13	-0.07	17%	4 Oct →
nuke	1–13	-0.05	6%	4 Oct →
nuke	7–13	-0.05	17%	1 Oct →
vertigo	5–13	-0.06	18%	1 Oct →
cache	8–13	0.02	25%	1 Oct →
mirage	13–16	0.05	28%	28 Sept →
nuke	11–13	-0.02	29%	28 Sept →
train	11–13	0.11	29%	28 Sept →
inferno	7–13	0.14	24%	28 Sept →
overpass	13–10	0.08	25%	19 Sept →
cache	13–5	0.16	20%	19 Sept →
mirage	15–15	-0.02	18%	15 Sept →
dust2	4–13	-0.06	23%	9 Sept →
mirage	6–13	0.03	32%	9 Sept →
cache	7–13	-0.01	16%	9 Sept →
dust2	13–4	0.09	12%	6 Sept →
nuke	13–9	0.02	14%	2 Sept →
inferno	6–13	-0.04	15%	1 Sept →
office	7–13	-0.06	18%	1 Sept →
mirage	11–13	-0.03	18%	1 Sept →
dust2	7–13	-0.05	10%	29 Aug →
anubis	13–5	0.04	19%	29 Aug →
vertigo	4–13	-0.00	20%	28 Aug →
cache	7–13	-0.06	19%	28 Aug →
nuke	9–13	-0.10	14%	24 Aug →
cache	8–13	-0.09	17%	24 Aug →
vertigo	13–9	-0.01	20%	24 Aug →
dust2	13–6	0.04	11%	24 Aug →
dust2	13–10	-0.06	36%	24 Aug →
mirage	13–4	-0.01	30%	24 Aug →
dust2	13–9	0.01	14%	24 Aug →
vertigo	9–3	0.02	8%	22 Aug →
mirage	13–10	-0.06	16%	21 Aug →
nuke	12–12	-0.01	13%	21 Aug →
mirage	7–13	0.04	18%	20 Aug →
nuke	13–9	0.04	28%	20 Aug →
ancient	13–2	0.10	25%	19 Aug →
anubis	13–10	0.00	9%	19 Aug →
mirage	7–13	0.00	24%	18 Aug →
vertigo	7–13	-0.07	15%	18 Aug →
vertigo	4–9	-0.06	26%	13 Aug →
ancient	7–13	0.01	25%	16 Jul →
inferno	12–12	-0.09	21%	16 Jul →
dust2	13–8	0.06	15%	13 Jul →
train	4–13	0.02	31%	13 Jul →
dust2	2–13	-0.00	27%	11 Jul →
nuke	13–9	-0.03	17%	11 Jul →
anubis	13–6	-0.05	8%	11 Jul →
mirage	6–4	-0.08	22%	11 Jul →
ancient	5–13	-0.03	32%	11 Jul →
cache	13–11	-0.04	15%	11 Jul →
nuke	13–9	-0.02	27%	10 Jul →
anubis	13–6	-0.02	28%	10 Jul →
mirage	5–1	0.02	42%	10 Jul →
cache	11–13	-0.03	21%	10 Jul →
cache	11–13	-0.02	20%	10 Jul →
nuke	9–13	0.02	16%	10 Jul →
inferno	7–13	0.01	24%	10 Jul →
mirage	13–1	-0.05	16%	10 Jul →
nuke	13–8	0.02	11%	10 Jul →
mirage	11–13	-0.01	21%	9 Jul →
cache	9–13	0.04	37%	9 Jul →
shelter	13–5	0.00	27%	9 Jul →
anubis	13–11	0.05	19%	9 Jul →
nuke	13–9	0.00	32%	9 Jul →
vertigo	13–2	0.02	23%	9 Jul →
nuke	13–7	0.04	26%	9 Jul →
cache	12–12	0.02	21%	9 Jul →
vertigo	4–13	-0.07	21%	8 Jul →
cache	10–13	0.00	13%	7 Jul →
vertigo	13–8	0.05	22%	6 Jul →
mirage	13–4	-0.02	46%	6 Jul →
vertigo	13–5	0.07	22%	4 Jul →
anubis	13–3	0.00	27%	4 Jul →
vertigo	5–5	0.04	21%	2 Jul →
nuke	13–1	0.00	32%	2 Jul →