GaMMa — CS2 Stats

76561198049531214[U:1:89265486]✓ No bans

2,622Tracked matches47%Win rate2021Tracked since

5,743Hours in CS28Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating23,812Top 50% of 819 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	64.2%	48.1%
Shot accuracy	6.7%	12.9%
Kill/death ratio	2.15	1.08
Match win rate	44.6%	46.5%

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Performance scores

Aim75

Positioning46

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateWWWLWLLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.5

Aggression5.2

Utility6.3

Positioning4.6

Opening Duels1.8

Clutch3.6

Strong CT-side opener

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

Your pro match

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Positioning4.6

Utility6.3

Mechanics5.3

Opening Duels2.1

Win Impact3.9

Composite 5.6/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time532ms−41ms

first ⅓ avg 573ms → last ⅓ avg 532ms

Headshot accuracy18.3%+0.3%

first ⅓ avg 18.0% → last ⅓ avg 18.3%

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.

Highlights

0.24Best rating — inferno 13–2

13–0Biggest win — ancient

9Longest win streak

W3Current streak

11–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 68% over 19cacheWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	13–7	65%	0.04
ancient	S	19	13–6	68%	0.02
anubis	A	15	9–6	60%	0.02
inferno	A	15	9–6	60%	0.05
mirage	A	15	9–6	60%	0.00
cache	C	11	4–7	36%	0.01
nuke	—	4	2–2	50%	0.01
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

319,039Lifetime kills

2.15K/D · Top 5% of Pink band

6,124Matches

44.6%Match win rate

64.2%Headshot % · Top 10% of Pink band

6.7%Shot accuracy

15,542MVPs

4,749Hours (in match)

7,420Bombs planted

4,143Bombs defused

Most-used weapons

AK-47188,767

AWP36,398

M4A4 / M4A1-S30,326

P2000 / USP-S16,453

Desert Eagle10,108

Glock-187,004

Galil AR3,097

FAMAS2,930

P2502,594

P902,287

Lifetime map wins

12,501dust2

9,701inferno

4,257nuke

2,579vertigo

1,519train

771cbble

68dust

46office

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

Faceit stats

Combat

359Matches

50%Win rate

0.99Avg K/D

71.2ADR

44%Headshot %

Clutches & streaks

38%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	119	54%	1.06	13.5
Ancient	69	54%	1.01	13.7
Anubis	52	44%	0.99	13.5
Dust2	43	44%	0.87	12.4
Inferno	28	54%	0.97	14.6
Vertigo	20	40%	0.89	11.9
Nuke	19	63%	0.95	13.6
Train	6	33%	0.95	15.0

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.

18.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

40.0%Spray accuracy

74.0%Counter-strafing

9.5°Preaim

526msReaction time

28.2%T opening success

46.5%CT opening success

0.54Enemies flashed / flash

5.8%Flash assists

11.58HE damage / grenade

9.75Flashes / 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.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.2178% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–3	0.12	21%	27 Aug →
dust2	13–11	0.01	20%	27 Aug →
ancient	13–10	0.04	16%	27 Aug →
anubis	11–13	0.05	26%	25 Aug →
ancient	13–10	0.06	15%	25 Aug →
inferno	9–13	0.06	27%	25 Aug →
anubis	7–13	0.01	19%	25 Aug →
inferno	13–11	0.06	15%	25 Aug →
dust2	11–13	0.02	15%	24 Aug →
mirage	1–13	-0.11	17%	23 Aug →
anubis	10–13	0.06	25%	23 Aug →
dust2	9–13	0.09	19%	23 Aug →
cache	11–13	0.00	17%	20 Aug →
dust2	16–14	-0.01	16%	20 Aug →
inferno	4–13	-0.10	13%	20 Aug →
dust2	13–4	0.04	13%	19 Aug →
inferno	10–13	-0.01	18%	19 Aug →
mirage	10–13	-0.03	20%	19 Aug →
nuke	13–16	0.03	16%	17 Aug →
ancient	13–0	-0.01	14%	17 Aug →
inferno	13–6	0.12	23%	17 Aug →
ancient	9–1	0.02	25%	17 Aug →
inferno	13–6	0.12	24%	16 Aug →
dust2	13–9	0.07	11%	16 Aug →
cache	6–13	-0.06	25%	15 Aug →
inferno	16–14	0.05	16%	15 Aug →
ancient	11–13	-0.02	18%	13 Aug →
mirage	8–13	0.02	15%	10 Aug →
anubis	13–11	-0.02	16%	10 Aug →
dust2	7–13	0.03	23%	10 Aug →
nuke	5–13	-0.04	10%	10 Aug →
dust2	9–13	-0.01	13%	10 Aug →
mirage	13–11	0.01	19%	9 Aug →
cache	13–1	0.05	16%	9 Aug →
anubis	13–4	0.05	18%	8 Aug →
anubis	5–13	-0.08	11%	7 Aug →
anubis	13–8	0.00	13%	7 Aug →
dust2	5–13	0.02	16%	7 Aug →
inferno	13–9	0.03	18%	6 Aug →
inferno	8–13	0.05	16%	5 Aug →
anubis	0–13	-0.04	9%	4 Aug →
dust2	13–1	0.03	15%	4 Aug →
cache	10–13	-0.02	20%	4 Aug →
cache	7–13	0.02	31%	4 Aug →
inferno	11–13	0.00	22%	3 Aug →
anubis	13–4	0.02	27%	2 Aug →
ancient	13–0	0.08	20%	30 Jul →
inferno	13–1	0.09	24%	30 Jul →
dust2	13–6	0.03	11%	30 Jul →
cache	13–9	-0.00	19%	27 Jul →
inferno	13–3	0.01	23%	27 Jul →
dust2	13–2	0.16	23%	27 Jul →
ancient	13–1	0.01	33%	27 Jul →
mirage	2–13	-0.03	18%	26 Jul →
mirage	13–11	0.01	20%	26 Jul →
ancient	13–9	0.03	10%	24 Jul →
mirage	13–10	0.10	10%	23 Jul →
nuke	13–8	0.04	18%	23 Jul →
ancient	9–13	-0.02	22%	22 Jul →
mirage	16–14	0.03	29%	19 Jul →
mirage	5–13	-0.02	15%	19 Jul →
anubis	8–13	0.03	18%	19 Jul →
ancient	3–13	-0.05	14%	18 Jul →
anubis	13–11	0.02	22%	18 Jul →
cache	13–6	0.05	19%	18 Jul →
mirage	16–14	-0.01	14%	17 Jul →
dust2	11–13	0.01	20%	17 Jul →
cache	9–13	0.02	16%	17 Jul →
anubis	13–9	0.04	18%	16 Jul →
anubis	13–5	0.05	19%	16 Jul →
mirage	13–4	0.03	16%	15 Jul →
mirage	13–2	0.05	28%	15 Jul →
ancient	13–4	0.09	14%	13 Jul →
inferno	13–5	0.07	28%	13 Jul →
ancient	13–2	-0.01	16%	13 Jul →
dust2	13–10	0.02	16%	13 Jul →
anubis	13–3	0.04	19%	12 Jul →
mirage	3–13	-0.03	21%	12 Jul →
ancient	13–8	0.08	17%	12 Jul →
cache	13–9	0.01	16%	12 Jul →
nuke	13–10	0.00	15%	11 Jul →
cache	10–13	-0.03	30%	11 Jul →
ancient	4–13	-0.07	16%	10 Jul →
dust2	13–7	-0.00	8%	10 Jul →
cache	11–13	0.05	22%	10 Jul →
dust2	13–4	0.10	18%	10 Jul →
anubis	13–6	0.03	24%	10 Jul →
mirage	13–0	0.06	20%	10 Jul →
mirage	13–11	-0.01	19%	6 Jul →
ancient	13–5	0.08	12%	5 Jul →
inferno	11–13	0.00	13%	2 Jul →
dust2	13–9	0.01	20%	2 Jul →
overpass	10–13	0.01	9%	2 Jul →
inferno	13–2	0.24	15%	2 Jul →
ancient	11–13	-0.01	16%	1 Jul →
dust2	13–3	0.10	12%	1 Jul →
ancient	13–4	0.07	25%	1 Jul →
dust2	15–15	0.07	23%	1 Jul →
dust2	13–7	0.10	20%	1 Jul →
ancient	9–13	-0.04	14%	1 Jul →