Pán Gerwman — CS2 Stats

SK76561198165464310[U:1:205198582]Steam profile ↗✓ No bans

570Tracked matches37%Win rate2021Tracked since

3,733Hours in CS6Hrs last 2 wks

CSDB Rating1.9 LearningClutch Specialist

Premier CS Rating2,185Grey band · top ~90.7% of ranked players (population est.)

CSDB Leaderboard#34486 of 44094 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median	Level 4 median	vs Level 4
Headshot rate	37.6%	42.2%	42.7%	5.0% short
Shot accuracy	13.6%	11.9%	10.8%	above
Kill/death ratio	0.83	0.98	1.00	0.17 short
Match win rate	40.0%	43.6%	44.1%	4.1% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim16

Positioning36

Utility33

0–100 skill scores via Leetify.

Recent form

COLD31–61–8Last 10031%Win rateLWWLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim1.6

Aggression4.2

Utility3.3

Positioning3.6

Opening Duels1.3

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 67% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 697ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.6

Positioning3.6

Utility3.3

Mechanics0.7

Opening Duels2.2

Win Impact0.6

Composite 1.9/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time694ms−5ms

first ⅓ avg 698ms → last ⅓ avg 694ms

Headshot accuracy14.8%−1.8%

first ⅓ avg 16.6% → last ⅓ avg 14.8%

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

0.15Best rating — ancient 13–2

13–2Biggest win — nuke

3Longest win streak

4–3In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 60% over 10cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	18	4–14	22%	-0.02
nuke	C	17	7–10	41%	-0.01
anubis	D	15	4–11	27%	-0.04
inferno	C	15	6–9	40%	-0.02
ancient	A	10	6–4	60%	-0.00
cache	D	5	1–4	20%	-0.05
train	—	4	0–4	0%	-0.05
overpass	—	4	0–4	0%	-0.03
office	—	3	0–3	0%	-0.02
dust2	—	3	1–2	33%	-0.03
vertigo	—	3	1–2	33%	-0.00
alpine	—	2	1–1	50%	-0.06
italy	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

75,095Lifetime kills

0.83K/D

4,984Matches

40.0%Match win rate

37.6%Headshot %

13.6%Shot accuracy · Top 50% of Level 3 players

10,127MVPs

2,326Hours (in match)

2,973Bombs planted

663Bombs defused

Most-used weapons

AWP12,556

AK-479,962

M4A4 / M4A1-S9,334

P2000 / USP-S5,331

SSG 084,525

Desert Eagle4,179

Glock-184,171

AUG3,286

SG 5533,060

P902,487

Lifetime map wins

6,890dust2

4,909inferno

3,434nuke

472vertigo

432lake

416office

377train

374cbble

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

Faceit stats

Combat

6Matches

17%Win rate

0.64Avg K/D

68.8ADR

52%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	0.64	10.5
Ancient	1	0%	0.33	4.0
Inferno	1	0%	0.58	11.0
Anubis	1	0%	1.00	16.0

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.

14.8%Headshot accuracy

26.2%Accuracy (enemy spotted)

25.1%Spray accuracy

53.2%Counter-strafing

10.0°Preaim

697msReaction time

22.8%T opening success

47.2%CT opening success

0.34Enemies flashed / flash

5.6%Flash assists

11.10HE damage / grenade

3.60Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7936% — below the 15% mark we flag
Aim Training →
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 0.3417 — 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 22.7864% — 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 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.00	21%	29 Aug →
ancient	13–5	-0.03	4%	27 Aug →
mirage	13–6	0.01	14%	25 Aug →
nuke	10–13	-0.02	26%	24 Aug →
inferno	2–13	-0.06	33%	21 Aug →
office	9–13	-0.04	11%	21 Aug →
nuke	13–2	0.12	14%	17 Aug →
inferno	4–13	-0.10	11%	10 Aug →
mirage	8–13	-0.00	13%	8 Aug →
ancient	14–16	-0.05	16%	6 Aug →
inferno	13–7	0.06	8%	3 Aug →
inferno	13–7	0.05	15%	2 Aug →
mirage	5–13	0.05	13%	2 Aug →
mirage	13–2	-0.02	35%	1 Aug →
mirage	5–13	0.00	13%	29 Jul →
nuke	13–6	-0.07	12%	29 Jul →
mirage	7–13	-0.11	12%	28 Jul →
dust2	16–14	-0.04	13%	28 Jul →
nuke	4–13	-0.03	14%	22 Jul →
vertigo	10–13	-0.01	15%	21 Jul →
nuke	6–13	-0.02	11%	21 Jul →
inferno	5–13	0.02	20%	21 Jul →
anubis	13–10	-0.01	10%	20 Jul →
mirage	8–13	-0.02	17%	20 Jul →
anubis	6–13	-0.01	17%	18 Jul →
mirage	3–13	-0.05	17%	15 Jul →
mirage	3–13	-0.08	11%	14 Jul →
anubis	6–13	-0.15	9%	14 Jul →
ancient	13–3	-0.03	19%	12 Jul →
mirage	13–6	0.06	7%	12 Jul →
mirage	13–8	-0.01	21%	11 Jul →
inferno	7–13	-0.09	9%	11 Jul →
mirage	10–13	0.04	6%	10 Jul →
nuke	5–13	-0.01	8%	10 Jul →
anubis	4–13	-0.12	17%	9 Jul →
nuke	4–12	-0.04	10%	8 Jul →
train	12–12	-0.06	15%	8 Jul →
anubis	12–12	-0.08	7%	8 Jul →
cache	6–13	0.06	21%	8 Jul →
mirage	15–15	0.02	11%	5 Jul →
inferno	5–13	0.02	18%	4 Jul →
dust2	5–13	-0.04	14%	30 Jun →
ancient	10–13	-0.02	19%	29 Jun →
inferno	13–7	0.02	19%	29 Jun →
ancient	0–6	-0.04	0%	28 Jun →
overpass	2–13	-0.03	21%	28 Jun →
mirage	7–13	-0.04	13%	27 Jun →
inferno	2–6	-0.09	0%	27 Jun →
nuke	16–14	-0.05	14%	27 Jun →
inferno	7–13	-0.00	10%	25 Jun →
dust2	8–13	-0.00	18%	25 Jun →
cache	5–13	-0.05	28%	24 Jun →
overpass	2–13	-0.04	10%	24 Jun →
nuke	13–10	0.01	16%	24 Jun →
nuke	13–11	0.01	24%	24 Jun →
italy	7–13	-0.03	14%	23 Jun →
anubis	7–13	-0.06	10%	23 Jun →
ancient	10–13	-0.05	11%	23 Jun →
inferno	4–13	-0.10	13%	22 Jun →
nuke	15–15	-0.00	11%	21 Jun →
anubis	13–6	-0.01	18%	20 Jun →
train	10–13	-0.02	14%	19 Jun →
ancient	13–8	0.05	24%	18 Jun →
ancient	13–6	0.02	13%	17 Jun →
nuke	15–15	0.00	7%	17 Jun →
ancient	13–2	0.15	16%	17 Jun →
nuke	6–13	-0.07	8%	17 Jun →
train	10–13	-0.08	20%	16 Jun →
anubis	15–15	-0.05	27%	15 Jun →
alpine	9–13	-0.07	5%	14 Jun →
cache	13–2	-0.03	18%	14 Jun →
anubis	8–13	-0.04	19%	14 Jun →
anubis	13–5	0.05	14%	14 Jun →
inferno	13–9	-0.01	13%	14 Jun →
nuke	13–9	0.02	16%	12 Jun →
anubis	8–13	-0.06	13%	10 Jun →
nuke	5–13	0.04	14%	8 Jun →
train	2–13	-0.02	27%	4 Jun →
vertigo	13–8	0.01	10%	4 Jun →
mirage	11–13	-0.09	18%	2 Jun →
office	12–12	0.01	24%	1 Jun →
alpine	13–5	-0.06	18%	1 Jun →
vertigo	2–13	-0.01	14%	31 May →
inferno	5–13	-0.02	13%	31 May →
mirage	8–13	-0.02	5%	30 May →
nuke	10–13	-0.02	19%	29 May →
anubis	16–13	0.02	31%	29 May →
anubis	0–13	-0.08	0%	27 May →
office	11–13	-0.04	26%	26 May →
overpass	6–13	-0.03	23%	26 May →
cache	7–13	-0.06	10%	26 May →
nuke	5–13	-0.04	8%	25 May →
ancient	13–10	-0.04	13%	25 May →
mirage	15–15	-0.06	22%	23 May →
cache	8–13	-0.16	0%	21 May →
anubis	10–13	-0.07	12%	18 May →
inferno	13–7	0.06	38%	14 May →
overpass	9–13	-0.01	16%	13 May →
mirage	9–13	0.02	28%	13 May →
inferno	13–11	-0.00	15%	12 May →