GAMMA — CS2 Stats

KR76561198406323900[U:1:446058172]Steam profile ↗✓ No bans

1,227Tracked matches62%Win rate2020Tracked since

2,926Hours in CS40Hrs last 2 wks

CSDB Rating5.4 DevelopingPositional Player

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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. 18 days played since 8 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 22,375 +6,090 8 Mar – 22 Apr · 11 days played

23,301Peak Premier in tracked matches

18Days played since 2026-03-08

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 7 among CSDB-tracked players (n=12,543), 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 7 median	Level 8 median	vs Level 8
Headshot rate	48.3%	45.7%	46.8%	above
Shot accuracy	15.3%	12.7%	13.0%	above
Kill/death ratio	0.96	1.05	1.06	0.10 short
Match win rate	56.2%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning64

Utility9

0–100 skill scores via Leetify.

Recent form

STEADY67–28–5Last 10067%Win rateLLWWWLTWLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −2.6pp headshot accuracy · +9ms reaction

Win rate down 40pp 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 573ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 579ms

Last 20

12–7–1 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 17%
Avg reaction 574ms

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 (+3.4 against its own average).

Aim6.1

Utility0.9

Positioning6.4

Opening Duels4.3

Clutch0.6

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 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

Areas to improve

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

Reaction time. 569ms 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

Aim6.1

Positioning6.4

Utility0.9

Mechanics5.2

Opening Duels5.0

Win Impact9.0

Composite 5.4/10 (Developing), 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 rating-0.00−0.05

first ⅓ avg 0.05 → last ⅓ avg -0.00

Reaction time571ms−72ms

first ⅓ avg 643ms → last ⅓ avg 571ms

Headshot accuracy18.4%−3.0%

first ⅓ avg 21.4% → last ⅓ avg 18.4%

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

0.18Best match rating · 13–9 · dust2, 13 Mar →

52%Best headshot accuracy · 9–6 · inferno, 11 Sept →

422msFastest reaction time · 5–13 · ancient, 17 Sept →

13–0Biggest win · mirage, 1 Apr →

Across the last 100 tracked matches.

Highlights

13Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 100% over 5ancientWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	42	33–9	79%	0.04
dust2	B	15	7–8	47%	0.02
anubis	S	15	10–5	67%	0.01
ancient	C	14	6–8	43%	-0.00
inferno	S	5	5–0	100%	0.03
cache	—	4	2–2	50%	0.01
nuke	—	3	2–1	67%	0.01
overpass	—	2	2–0	100%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,900Lifetime kills

0.96K/D

3,239Matches

56.2%Match win rate · Top 5% of Level 7 players

48.3%Headshot % · Top 50% of Level 7 players

15.3%Shot accuracy · Top 50% of Level 7 players

8,758MVPs

1,257Hours (in match)

2,104Bombs planted

739Bombs defused

Most-used weapons

AK-4718,800

M4A4 / M4A1-S10,590

Desert Eagle5,620

AWP5,374

MP74,747

P2000 / USP-S4,115

SG 5533,892

AUG2,936

Glock-182,495

Galil AR924

Lifetime map wins

4,257inferno

2,924dust2

1,338vertigo

657nuke

540train

118cbble

35lake

27office

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

Faceit stats

Combat

59Matches

66%Win rate

0.95Avg K/D

86.1ADR

47%Headshot %

Clutches & streaks

23%1v1 clutch win

25%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	100%	1.27	18.8
Anubis	8	62%	0.97	14.5
Dust2	5	60%	0.96	17.4
Ancient	3	100%	0.90	19.3
Cache	3	33%	1.24	21.0

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.

17.9%Headshot accuracy

34.6%Accuracy (enemy spotted)

36.9%Spray accuracy

73.2%Counter-strafing

11.4°Preaim

569msReaction time

53.1%T opening success

46.9%CT opening success

0.12Enemies flashed / flash

1.4%Flash assists

6.58HE damage / grenade

0.78Flashes / 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 0.1206 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	14–16	-0.02	14%	19 Sept →
dust2	10–13	-0.09	16%	19 Sept →
ancient	22–19	-0.04	13%	19 Sept →
anubis	13–8	0.07	24%	19 Sept →
mirage	13–6	0.01	24%	19 Sept →
dust2	10–13	-0.01	10%	19 Sept →
anubis	15–15	-0.03	13%	19 Sept →
mirage	13–6	0.13	20%	19 Sept →
mirage	6–13	-0.01	16%	19 Sept →
ancient	7–13	-0.10	9%	19 Sept →
inferno	16–13	0.03	23%	19 Sept →
mirage	8–13	-0.02	15%	19 Sept →
anubis	5–13	-0.05	11%	18 Sept →
anubis	13–5	0.00	13%	18 Sept →
anubis	13–7	-0.01	14%	18 Sept →
dust2	13–7	-0.05	18%	18 Sept →
mirage	13–7	0.01	17%	18 Sept →
mirage	13–11	0.00	25%	18 Sept →
anubis	13–8	0.02	24%	18 Sept →
mirage	13–8	0.08	25%	18 Sept →
mirage	13–10	-0.05	6%	17 Sept →
ancient	5–13	-0.03	13%	17 Sept →
mirage	11–13	0.06	32%	17 Sept →
cache	11–13	0.04	16%	16 Sept →
dust2	13–8	-0.03	26%	16 Sept →
mirage	13–7	0.06	26%	16 Sept →
mirage	13–1	0.02	29%	16 Sept →
inferno	9–5	0.04	24%	16 Sept →
anubis	13–4	-0.03	19%	16 Sept →
mirage	13–10	-0.05	22%	16 Sept →
anubis	11–13	-0.05	13%	14 Sept →
mirage	13–7	0.04	25%	14 Sept →
ancient	13–8	-0.03	14%	14 Sept →
dust2	9–13	-0.01	17%	14 Sept →
anubis	13–4	0.12	15%	14 Sept →
mirage	5–13	0.02	25%	14 Sept →
anubis	13–6	0.05	17%	11 Sept →
mirage	13–8	0.08	29%	11 Sept →
mirage	13–11	0.01	21%	11 Sept →
ancient	13–10	-0.04	19%	11 Sept →
mirage	13–10	0.03	13%	11 Sept →
cache	13–4	0.02	21%	11 Sept →
mirage	13–10	-0.02	19%	11 Sept →
mirage	13–9	-0.03	27%	11 Sept →
dust2	13–5	0.04	21%	11 Sept →
inferno	9–6	0.02	52%	11 Sept →
mirage	13–8	0.02	34%	11 Sept →
mirage	13–10	0.05	23%	10 Sept →
cache	13–7	-0.02	21%	10 Sept →
ancient	10–13	-0.06	20%	22 Apr →
dust2	7–13	0.01	26%	19 Apr →
ancient	0–8	-0.09	25%	19 Apr →
mirage	13–2	0.06	24%	19 Apr →
nuke	13–7	-0.00	17%	19 Apr →
nuke	16–12	0.02	14%	18 Apr →
mirage	13–6	0.02	18%	18 Apr →
inferno	13–11	0.02	26%	18 Apr →
anubis	7–13	0.01	19%	18 Apr →
mirage	13–2	0.08	33%	18 Apr →
mirage	16–13	-0.02	16%	18 Apr →
inferno	13–8	0.03	18%	18 Apr →
dust2	15–15	-0.03	37%	18 Apr →
ancient	7–13	-0.04	10%	18 Apr →
anubis	13–10	0.03	10%	15 Apr →
mirage	13–3	0.11	32%	15 Apr →
dust2	9–13	0.10	18%	15 Apr →
mirage	13–16	0.05	24%	15 Apr →
mirage	13–5	0.12	16%	15 Apr →
dust2	13–6	0.04	29%	15 Apr →
mirage	13–0	0.15	27%	1 Apr →
mirage	15–15	-0.02	23%	15 Mar →
mirage	13–16	0.03	20%	15 Mar →
ancient	13–5	0.10	36%	15 Mar →
overpass	13–11	-0.01	21%	15 Mar →
dust2	13–9	-0.02	24%	15 Mar →
mirage	13–6	0.02	30%	13 Mar →
dust2	13–9	0.18	27%	13 Mar →
mirage	13–6	0.06	50%	13 Mar →
ancient	8–13	0.14	15%	13 Mar →
anubis	15–15	-0.03	15%	13 Mar →
nuke	7–13	0.01	16%	12 Mar →
mirage	13–6	0.11	16%	12 Mar →
dust2	5–13	0.00	16%	12 Mar →
dust2	11–13	0.02	15%	10 Mar →
anubis	13–11	0.03	27%	10 Mar →
ancient	13–4	0.08	24%	10 Mar →
mirage	13–8	0.06	19%	10 Mar →
anubis	13–2	0.05	23%	10 Mar →
mirage	13–6	-0.05	14%	10 Mar →
mirage	15–15	0.00	8%	10 Mar →
mirage	13–5	0.08	17%	9 Mar →
mirage	13–10	0.10	18%	9 Mar →
ancient	9–13	0.00	18%	9 Mar →
dust2	13–0	0.12	42%	9 Mar →
mirage	13–11	0.06	13%	9 Mar →
mirage	7–13	0.00	19%	9 Mar →
overpass	13–4	0.01	16%	9 Mar →
mirage	13–8	0.15	24%	9 Mar →
ancient	13–9	0.08	12%	8 Mar →
ancient	11–13	-0.03	16%	8 Mar →