pawkoem — CS2 Stats

76561198185311015[U:1:225045287]

2,381Tracked matches83%Win rate2020Tracked since

CSDB Rating8.0 StrongEntry Fragger

CSDB Leaderboard#32579 of 38581 tracked

FaceitLevel 10 · 2,654 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

2,654Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,654
Next: 3,000 ELO at 3,000 — 346 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-28
Level 10 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim93

Positioning74

Utility48

0–100 skill scores via Leetify.

Recent form

HOT67–28–5Last 10067%Win rateWWWWWWLWWL

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.3

Aggression10.0

Utility4.8

Positioning7.4

Opening Duels6.2

Clutch2.8

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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 s1mple 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 93 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 63% on CT to 47% 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

Aim9.3

Positioning7.4

Utility4.8

Mechanics8.5

Opening Duels6.2

Win Impact10.0

Composite 8.0/10 (Strong), 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 0.01 → last ⅓ avg 0.03

Reaction time537ms−20ms

first ⅓ avg 557ms → last ⅓ avg 537ms

Headshot accuracy30.2%+4.1%

first ⅓ avg 26.1% → last ⅓ avg 30.2%

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

0.23Best rating — dust2 13–7

13–0Biggest win — dust2

8Longest win streak

W6Current streak

6–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 85% over 13dust2Weakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	19	11–8	58%	0.01
nuke	S	19	13–6	68%	0.01
anubis	S	13	11–2	85%	0.02
mirage	S	13	10–3	77%	0.05
dust2	C	10	4–6	40%	0.05
train	B	10	5–5	50%	0.05
overpass	S	6	4–2	67%	0.06
vertigo	—	3	3–0	100%	0.05
jura	—	3	3–0	100%	0.06
inferno	—	2	2–0	100%	0.03
stronghold	—	1	1–0	100%	-0.03
grail	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,146Matches

56%Win rate

1.22Avg K/D

80.7ADR

51%Headshot %

Clutches & streaks

34%1v1 clutch win

18%1v2 clutch win

28Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	347	55%	1.08	16.4
Anubis	198	54%	1.04	15.9
Mirage	157	52%	1.12	17.0
Nuke	154	50%	1.09	16.1
Dust2	83	54%	1.20	17.1
Inferno	42	50%	1.18	16.9
Train	37	46%	1.10	15.5
Overpass	34	56%	1.16	16.9

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.

30.3%Headshot accuracy

36.0%Accuracy (enemy spotted)

37.1%Spray accuracy

88.2%Counter-strafing

7.4°Preaim

526msReaction time

46.8%T opening success

62.9%CT opening success

0.63Enemies flashed / flash

7.9%Flash assists

7.74HE damage / grenade

3.76Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7647 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.06	25%	10 Aug →
anubis	13–10	0.05	24%	9 Aug →
inferno	13–9	-0.00	40%	9 Aug →
mirage	13–10	0.05	21%	7 Aug →
anubis	13–10	-0.04	17%	5 Aug →
dust2	13–7	0.00	33%	2 Aug →
ancient	5–13	-0.03	38%	26 Jul →
anubis	13–7	-0.01	24%	22 Jul →
anubis	13–9	-0.05	18%	29 Jun →
nuke	5–13	-0.10	9%	25 Jun →
anubis	13–3	-0.01	20%	30 May →
mirage	13–3	0.04	34%	23 Apr →
nuke	13–11	0.10	48%	23 Apr →
dust2	13–16	0.09	39%	22 Apr →
overpass	13–4	0.07	42%	22 Apr →
stronghold	6–1	-0.03	0%	4 Apr →
anubis	13–8	0.05	24%	4 Apr →
ancient	13–6	-0.03	10%	28 Feb →
ancient	12–12	-0.03	33%	18 Feb →
dust2	13–0	0.13	28%	18 Feb →
nuke	0–13	-0.06	47%	18 Feb →
train	8–13	-0.02	46%	18 Feb →
train	13–1	0.03	36%	4 Jan →
nuke	13–9	0.02	37%	3 Jan →
ancient	13–8	0.09	27%	14 Dec →
vertigo	13–3	0.03	38%	26 Nov →
train	13–6	0.02	50%	5 Nov →
vertigo	13–8	0.08	31%	22 Oct →
vertigo	11–2	0.03	33%	22 Oct →
mirage	13–6	0.04	21%	12 Oct →
overpass	12–12	0.16	33%	28 Sept →
mirage	13–4	0.04	46%	27 Sept →
overpass	13–5	0.03	25%	18 Sept →
dust2	15–15	0.03	31%	18 Sept →
mirage	13–8	0.19	47%	17 Sept →
ancient	13–4	-0.03	34%	11 Sept →
train	12–12	0.08	27%	11 Sept →
train	13–10	0.05	30%	11 Sept →
mirage	12–12	0.15	32%	11 Sept →
train	11–13	0.12	28%	10 Sept →
ancient	13–3	0.09	40%	8 Sept →
ancient	13–10	0.01	35%	26 Aug →
train	13–7	0.14	25%	26 Aug →
overpass	12–16	0.05	32%	25 Aug →
anubis	13–3	0.06	28%	20 Aug →
nuke	16–14	0.02	28%	19 Aug →
dust2	13–7	0.23	39%	15 Aug →
nuke	13–4	0.15	33%	15 Aug →
overpass	13–9	-0.01	30%	11 Aug →
ancient	14–16	-0.01	22%	4 Aug →
mirage	13–9	-0.03	21%	26 Jul →
overpass	13–5	0.05	30%	23 Jul →
dust2	7–13	-0.04	10%	19 Jul →
anubis	8–13	-0.02	33%	13 Jul →
mirage	13–3	0.16	33%	13 Jul →
nuke	13–5	0.03	36%	9 Jul →
anubis	13–9	0.05	22%	9 Jul →
anubis	10–13	0.03	14%	3 Jul →
grail	10–13	-0.02	37%	3 Jul →
nuke	11–13	-0.02	21%	28 Jun →
dust2	7–13	-0.07	29%	28 Jun →
ancient	8–13	-0.04	29%	25 Jun →
jura	13–2	0.11	23%	25 Jun →
anubis	13–9	0.04	40%	25 Jun →
dust2	8–13	0.11	43%	18 Jun →
dust2	13–8	0.04	28%	14 Jun →
ancient	13–8	-0.02	16%	13 Jun →
nuke	13–10	0.02	30%	13 Jun →
jura	13–2	0.04	23%	4 Jun →
jura	13–6	0.03	19%	21 May →
train	13–4	0.00	45%	21 May →
mirage	13–10	0.07	35%	17 Apr →
nuke	16–12	0.04	40%	1 Apr →
dust2	14–16	-0.06	19%	6 Feb →
nuke	13–9	-0.01	10%	30 Jan →
anubis	13–6	0.09	23%	25 Jan →
train	10–13	0.01	23%	17 Jan →
nuke	2–13	-0.06	30%	15 Jan →
ancient	16–14	-0.02	20%	9 Jan →
ancient	13–8	0.06	29%	10 Dec →
train	10–13	0.02	28%	5 Dec →
nuke	11–13	0.03	21%	1 Dec →
ancient	13–8	0.01	28%	18 Nov →
ancient	3–13	-0.02	26%	17 Nov →
ancient	12–1	0.09	29%	15 Nov →
nuke	6–13	-0.03	15%	9 Oct →
mirage	13–5	0.07	45%	5 Aug →
anubis	13–11	0.00	20%	7 Jul →
ancient	1–13	-0.10	5%	13 May →
nuke	13–4	-0.00	23%	5 May →
mirage	5–13	-0.05	33%	21 Apr →
ancient	7–13	-0.03	27%	21 Apr →
ancient	12–16	0.02	27%	14 Apr →
nuke	13–11	-0.01	33%	10 Apr →
mirage	3–13	-0.08	33%	2 Apr →
nuke	13–7	0.05	44%	10 Mar →
mirage	13–10	0.02	20%	10 Mar →
nuke	13–5	0.01	19%	9 Mar →
nuke	13–6	0.04	22%	9 Mar →
ancient	13–8	0.10	20%	9 Mar →