𝖇𝖗𝖔𝖈𝖈𝖔𝖑𝖎 — CS2 Stats

CR76561198970928953[U:1:1010663225]Steam profile ↗✓ No bans

1,868Tracked matches72%Win rate2020Tracked since

3,303Hours in CS11Hrs last 2 wks

CSDB Rating6.6 SolidPositional Player

Premier CS Rating21,258Top 50% of 180,525 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#59320 of 226998 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+1149Premier CS Rating · 20,109 → 21,258

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. 24 days played since 12 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,258 +7,672 18 Jul – 18 Sept · 19 days played

21,258Peak Premier in tracked matches

24Days played since 2026-07-12

Premier CS Rating

At peak — 21,258
+4,588 over 30 days · improving
Next: Red band at 25,000 — 3,742 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-05
Blue band first seen 2026-09-05

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 6 among CSDB-tracked players (n=11,393), 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	49.1%	44.8%	45.7%	above
Shot accuracy	12.8%	12.4%	12.7%	meets
Kill/death ratio	1.21	1.04	1.05	above
Match win rate	50.5%	45.2%	45.7%	above

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim81

Positioning64

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWWTWWWWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · +32ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–0–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 570ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 557ms

Last 20

15–4–1 · 75% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 541ms

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 (+1.8 against its own average).

Aim8.1

Utility1.8

Positioning6.4

Opening Duels5.0

Clutch5.2

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 s1mple 83% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Areas to improve

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

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

Aim8.1

Positioning6.4

Utility1.8

Mechanics5.9

Opening Duels6.0

Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time539ms−64ms

first ⅓ avg 603ms → last ⅓ avg 539ms

Headshot accuracy17.6%−0.8%

first ⅓ avg 18.4% → last ⅓ avg 17.6%

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

0.20Best match rating · 13–3 · inferno, 2 Sept →

29%Best headshot accuracy · 13–2 · ancient, 3 Sept →

422msFastest reaction time · 7–13 · inferno, 19 Aug →

13–2Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W2Current streak

5–13In matches decided by ≤2 rounds

19Overtime games

Map breakdown

anubisBest map · 67% over 6cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.03
ancient	S	20	13–7	65%	0.03
inferno	C	17	6–11	35%	0.01
dust2	C	16	7–9	44%	0.02
cache	D	9	3–6	33%	0.04
anubis	S	6	4–2	67%	0.04
nuke	S	6	4–2	67%	0.04

Across the last 100 tracked matches.

Lifetime stats

77,964Lifetime kills

1.21K/D · Top 25% of Level 6 players

3,849Matches

50.5%Match win rate · Top 25% of Level 6 players

49.1%Headshot % · Top 50% of Level 6 players

12.8%Shot accuracy · Top 50% of Level 6 players

9,965MVPs

1,491Hours (in match)

4,812Bombs planted

1,048Bombs defused

Most-used weapons

AK-4725,169

M4A4 / M4A1-S15,214

AWP9,855

P2000 / USP-S4,922

Desert Eagle4,020

Glock-183,907

FAMAS1,876

MP91,860

SSG 081,724

Galil AR1,509

Lifetime map wins

5,016dust2

4,331inferno

3,395vertigo

2,244nuke

1,701train

409office

166lake

37ar_shoots

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

Faceit stats

Combat

59Matches

47%Win rate

1.15Avg K/D

85.4ADR

49%Headshot %

Clutches & streaks

46%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	52%	1.29	20.3
Dust2	10	50%	1.18	19.2
Inferno	7	43%	1.43	17.9
Anubis	4	50%	0.97	15.3
Ancient	3	33%	0.87	14.0
Train	2	50%	1.04	14.5
Nuke	2	0%	1.00	16.5
Cache	2	0%	0.66	11.0

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.

17.8%Headshot accuracy

38.7%Accuracy (enemy spotted)

38.7%Spray accuracy

76.7%Counter-strafing

8.4°Preaim

545msReaction time

55.4%T opening success

53.0%CT opening success

0.29Enemies flashed / flash

5.4%Flash assists

5.42HE damage / grenade

2.62Flashes / 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 0.2895 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–13	0.08	13%	18 Sept →
dust2	13–9	-0.01	15%	18 Sept →
anubis	15–15	0.02	14%	18 Sept →
inferno	13–6	-0.01	16%	18 Sept →
ancient	16–13	0.07	17%	16 Sept →
ancient	16–12	0.01	14%	16 Sept →
anubis	13–9	0.02	15%	16 Sept →
dust2	11–13	-0.01	25%	16 Sept →
dust2	6–13	0.09	18%	11 Sept →
dust2	6–13	-0.03	21%	11 Sept →
mirage	13–10	0.02	18%	11 Sept →
mirage	13–8	0.06	13%	11 Sept →
ancient	4–13	-0.04	24%	11 Sept →
ancient	13–11	-0.00	10%	11 Sept →
nuke	16–14	0.01	13%	3 Sept →
anubis	13–8	0.06	14%	3 Sept →
ancient	9–6	-0.01	16%	3 Sept →
nuke	13–5	0.09	28%	3 Sept →
ancient	13–2	0.05	29%	3 Sept →
nuke	13–6	0.11	24%	3 Sept →
inferno	13–3	0.20	19%	2 Sept →
cache	13–16	0.04	20%	2 Sept →
dust2	13–11	-0.01	18%	29 Aug →
cache	11–13	0.01	14%	29 Aug →
mirage	13–7	0.04	25%	29 Aug →
inferno	10–13	0.02	21%	29 Aug →
mirage	13–11	0.03	15%	28 Aug →
ancient	16–13	0.06	24%	28 Aug →
inferno	13–8	-0.03	12%	26 Aug →
dust2	10–13	0.04	19%	26 Aug →
mirage	13–8	-0.01	6%	19 Aug →
inferno	13–9	0.01	11%	19 Aug →
dust2	13–10	0.07	19%	19 Aug →
mirage	13–7	0.04	14%	19 Aug →
inferno	7–13	-0.03	11%	19 Aug →
dust2	11–13	0.04	10%	14 Aug →
mirage	14–16	-0.01	13%	14 Aug →
mirage	13–8	0.05	15%	14 Aug →
ancient	5–13	-0.05	12%	14 Aug →
cache	13–8	-0.02	7%	11 Aug →
mirage	11–13	0.01	9%	11 Aug →
ancient	12–16	-0.01	13%	11 Aug →
dust2	5–13	-0.02	15%	11 Aug →
mirage	13–4	0.17	12%	7 Aug →
ancient	13–8	0.04	7%	7 Aug →
dust2	14–16	0.08	23%	7 Aug →
ancient	11–13	0.02	14%	7 Aug →
dust2	12–16	-0.01	16%	7 Aug →
ancient	16–12	0.06	23%	4 Aug →
cache	5–0	0.16	14%	31 Jul →
mirage	9–13	0.00	19%	31 Jul →
cache	7–13	0.00	14%	31 Jul →
nuke	13–6	0.02	20%	31 Jul →
mirage	14–16	-0.02	12%	31 Jul →
ancient	13–9	0.04	14%	31 Jul →
inferno	7–13	0.03	9%	31 Jul →
anubis	13–6	0.07	11%	28 Jul →
mirage	13–8	0.03	17%	28 Jul →
dust2	13–5	0.09	14%	28 Jul →
ancient	13–2	0.12	18%	28 Jul →
mirage	13–8	0.04	19%	24 Jul →
mirage	8–13	0.00	14%	24 Jul →
mirage	13–10	-0.00	13%	24 Jul →
dust2	13–16	-0.02	15%	22 Jul →
inferno	12–16	0.02	14%	22 Jul →
cache	13–5	0.14	19%	22 Jul →
ancient	13–16	-0.01	22%	22 Jul →
inferno	13–3	-0.00	25%	22 Jul →
anubis	13–8	0.06	21%	22 Jul →
mirage	13–11	0.08	20%	18 Jul →
nuke	13–16	0.02	20%	17 Jul →
cache	15–15	0.04	14%	17 Jul →
inferno	9–13	0.01	12%	17 Jul →
mirage	5–13	0.03	9%	17 Jul →
mirage	13–6	0.07	7%	17 Jul →
inferno	5–13	0.01	15%	17 Jul →
ancient	13–2	0.06	15%	17 Jul →
mirage	10–13	0.06	20%	16 Jul →
dust2	13–3	0.03	19%	16 Jul →
ancient	10–13	0.04	14%	16 Jul →
mirage	9–13	0.05	12%	16 Jul →
inferno	9–13	-0.02	24%	15 Jul →
inferno	13–10	0.03	16%	15 Jul →
ancient	11–13	0.05	17%	15 Jul →
inferno	8–13	-0.00	22%	15 Jul →
cache	11–13	0.06	16%	15 Jul →
nuke	1–13	-0.00	23%	15 Jul →
anubis	6–13	-0.02	14%	15 Jul →
inferno	5–13	-0.04	20%	14 Jul →
mirage	13–7	0.10	24%	14 Jul →
ancient	13–6	0.09	23%	14 Jul →
inferno	11–13	0.02	25%	13 Jul →
mirage	14–16	0.02	18%	13 Jul →
dust2	13–9	-0.01	12%	13 Jul →
mirage	5–13	0.00	22%	12 Jul →
dust2	13–8	-0.02	27%	12 Jul →
cache	7–13	-0.05	18%	12 Jul →
ancient	13–4	0.05	21%	12 Jul →
mirage	8–13	-0.03	27%	12 Jul →
inferno	11–13	-0.07	13%	12 Jul →