Gumkowski — CS2 Stats

76561197991744195[U:1:31478467]Steam profile ↗

990Tracked matches62%Win rate2020Tracked since

5,142Hours in CS

CSDB Rating6.7 SolidHybrid Rifler

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	54.6%	52.0%
Shot accuracy	22.7%	13.7%
Kill/death ratio	2.50	1.08
Match win rate	71.8%	48.8%

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Performance scores

Aim89

Positioning54

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY62–29–9Last 10062%Win rateWTTWLWLLWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

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

Aim8.9

Aggression5.3

Utility4.7

Positioning5.4

Opening Duels0.8

Sharp aimerLimited 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.

Your pro match

Plays most like NiKo 91% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.9

Positioning5.4

Utility4.7

Mechanics8.4

Opening Duels0.9

Win Impact8.8

Composite 6.7/10 (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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time564ms−8ms

first ⅓ avg 572ms → last ⅓ avg 564ms

Headshot accuracy26.2%+2.7%

first ⅓ avg 23.5% → last ⅓ avg 26.2%

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

0.16Best rating — inferno 13–1

13–0Biggest win — ancient

9Longest win streak

5–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 77% over 13infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	46	29–17	63%	0.04
ancient	S	18	12–6	67%	0.04
mirage	S	13	10–3	77%	0.01
inferno	D	12	4–8	33%	0.01
overpass	B	8	4–4	50%	0.05
nuke	—	3	3–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

481,508Lifetime kills

2.50K/D · Top 1% of Level 10 players

14,124Matches

71.8%Match win rate · Top 1% of Level 10 players

54.6%Headshot % · Top 50% of Level 10 players

22.7%Shot accuracy · Top 1% of Level 10 players

42,262MVPs

5,142Hours (in match)

8,558Bombs planted

3,544Bombs defused

Most-used weapons

AK-47237,535

M4A4 / M4A1-S109,179

AWP35,382

P25016,563

P2000 / USP-S13,785

Glock-1810,215

Desert Eagle9,090

FAMAS6,488

Galil AR5,372

Knife4,269

Lifetime map wins

41,505dust2

23,247inferno

8,292nuke

3,927train

1,522cbble

1,051vertigo

278office

147dust

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

Faceit stats

Combat

1,501Matches

66%Win rate

1.65Avg K/D

—ADR

47%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

27Longest win streak

Recent Faceit resultsLLLLW

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.

26.2%Headshot accuracy

34.6%Accuracy (enemy spotted)

38.1%Spray accuracy

87.9%Counter-strafing

7.5°Preaim

569msReaction time

37.3%T opening success

29.4%CT opening success

0.49Enemies flashed / flash

4.2%Flash assists

9.21HE damage / grenade

3.92Flashes / 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 0.488 — below the 0.5 mark we flag
Grenade Lineups →
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 37.2543% — below the 40% mark we flag

Spend your practice time on Inferno

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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	0.12	24%	22 Jan →
dust2	12–12	0.01	30%	22 Jan →
dust2	12–12	-0.02	31%	22 Jan →
dust2	13–4	0.07	34%	22 Jan →
dust2	10–13	0.11	27%	1 Oct →
dust2	13–1	0.08	32%	30 Sept →
dust2	5–13	0.01	28%	30 Sept →
dust2	8–13	0.01	23%	30 Sept →
dust2	13–6	0.04	35%	30 Sept →
dust2	13–11	0.01	19%	29 Sept →
ancient	13–2	0.07	30%	29 Sept →
overpass	12–12	0.04	26%	29 Sept →
dust2	13–9	0.01	18%	29 Sept →
overpass	13–5	0.12	36%	29 Sept →
dust2	4–13	-0.01	25%	29 Sept →
dust2	3–2	0.03	25%	29 Sept →
ancient	13–4	0.02	25%	29 Sept →
dust2	13–10	0.01	24%	29 Sept →
inferno	10–13	0.04	43%	28 Sept →
dust2	6–13	0.01	21%	28 Sept →
mirage	13–9	0.03	17%	28 Sept →
inferno	8–13	0.03	42%	28 Sept →
ancient	12–12	0.04	26%	28 Sept →
nuke	13–6	0.05	17%	28 Sept →
mirage	13–1	-0.00	20%	28 Sept →
overpass	3–13	-0.09	14%	28 Sept →
ancient	10–13	0.07	26%	28 Sept →
dust2	13–6	0.03	23%	28 Sept →
dust2	3–13	0.02	18%	28 Sept →
inferno	13–1	0.16	23%	27 Sept →
overpass	13–5	0.12	15%	27 Sept →
ancient	13–3	0.10	37%	27 Sept →
dust2	13–2	0.03	29%	27 Sept →
dust2	13–8	0.03	36%	27 Sept →
mirage	8–0	0.07	23%	27 Sept →
dust2	10–13	-0.01	28%	27 Sept →
ancient	13–6	0.04	19%	26 Sept →
dust2	13–7	0.06	33%	26 Sept →
mirage	13–11	0.07	22%	26 Sept →
dust2	13–6	0.07	26%	26 Sept →
dust2	3–4	0.05	43%	26 Sept →
dust2	9–13	0.03	18%	25 Sept →
overpass	13–3	0.16	25%	25 Sept →
inferno	8–13	-0.04	19%	25 Sept →
ancient	13–0	0.06	29%	22 Sept →
dust2	13–6	0.05	26%	22 Sept →
dust2	13–3	0.08	20%	21 Sept →
mirage	13–4	0.02	33%	21 Sept →
ancient	13–10	0.06	18%	21 Sept →
inferno	10–13	0.03	33%	21 Sept →
dust2	12–12	0.07	24%	21 Sept →
dust2	13–8	0.11	23%	14 Sept →
mirage	13–9	0.02	20%	14 Sept →
dust2	13–2	0.10	21%	14 Sept →
dust2	13–8	0.01	25%	13 Sept →
mirage	13–8	-0.01	18%	13 Sept →
dust2	13–5	0.02	38%	13 Sept →
ancient	13–8	0.05	23%	13 Sept →
nuke	13–9	-0.04	13%	12 Sept →
ancient	13–3	-0.01	13%	12 Sept →
dust2	10–13	0.04	18%	12 Sept →
dust2	13–11	0.04	27%	12 Sept →
inferno	2–13	-0.04	38%	12 Sept →
mirage	13–5	0.02	21%	11 Sept →
ancient	13–5	0.03	13%	11 Sept →
inferno	13–10	-0.03	15%	11 Sept →
ancient	12–12	0.02	21%	10 Sept →
inferno	3–0	0.06	29%	10 Sept →
mirage	13–7	-0.02	15%	10 Sept →
mirage	8–13	-0.06	28%	10 Sept →
dust2	12–12	0.04	21%	9 Sept →
ancient	8–13	0.06	24%	9 Sept →
ancient	13–5	-0.07	15%	8 Sept →
dust2	13–6	0.02	28%	8 Sept →
ancient	13–5	-0.01	13%	8 Sept →
inferno	13–11	0.04	18%	8 Sept →
dust2	13–6	0.09	28%	6 Sept →
inferno	3–13	-0.03	12%	6 Sept →
mirage	7–13	-0.00	24%	6 Sept →
dust2	13–3	0.07	33%	6 Sept →
dust2	13–5	0.13	25%	6 Sept →
overpass	9–13	0.05	19%	6 Sept →
inferno	5–13	-0.05	38%	6 Sept →
ancient	13–6	0.06	20%	6 Sept →
dust2	12–12	0.02	24%	5 Sept →
dust2	13–5	0.12	21%	5 Sept →
dust2	13–2	0.08	29%	5 Sept →
dust2	16–13	0.00	22%	5 Sept →
overpass	13–5	-0.00	32%	5 Sept →
ancient	9–13	0.01	24%	5 Sept →
nuke	13–8	0.10	18%	4 Sept →
mirage	13–3	0.02	23%	4 Sept →
inferno	11–13	0.02	23%	4 Sept →
mirage	11–13	-0.04	23%	4 Sept →
dust2	13–4	0.10	31%	4 Sept →
ancient	12–12	0.03	27%	4 Sept →
dust2	4–13	-0.03	15%	4 Sept →
dust2	7–13	-0.02	23%	3 Sept →
overpass	9–13	0.01	16%	3 Sept →
dust2	13–3	0.02	36%	3 Sept →