KOLER — CS2 Stats

CA76561197972531734[U:1:12266006]Steam profile ↗VAC banned

1,267Tracked matches67%Win rate2020Tracked since

8,810Hours in CS8Hrs last 2 wks

CSDB Rating8.6 EliteEntry Fragger

Premier CS Rating25,320Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#2352 of 17640 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning74

Utility64

0–100 skill scores via Leetify.

Recent form

HOT59–36–5Last 10059%Win rateWLLWLWWWWW

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

Player DNA

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

Aim9.3

Aggression10.0

Utility6.4

Positioning7.4

Opening Duels7.0

Clutch4.2

Sharp aimerExcellent counter-strafingEffective flashes

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 98% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Utility6.4

Mechanics8.6

Opening Duels7.0

Win Impact10.0

Composite 8.6/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time542ms−45ms

first ⅓ avg 587ms → last ⅓ avg 542ms

Headshot accuracy29.4%+5.9%

first ⅓ avg 23.6% → last ⅓ avg 29.4%

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.

Highlights

0.17Best rating — cache 10–13

13–0Biggest win — mirage

7Longest win streak

11–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 86% over 7cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	26	18–8	69%	0.05
inferno	S	19	14–5	74%	0.04
dust2	A	16	9–7	56%	0.01
nuke	C	12	5–7	42%	0.02
ancient	C	9	4–5	44%	0.02
overpass	S	7	6–1	86%	0.07
cache	C	5	2–3	40%	0.10
anubis	—	4	1–3	25%	0.04
train	—	2	0–2	0%	0.07

Across the last 100 tracked matches.

Lifetime stats

224,542Lifetime kills

1.05K/D · Top 50% of tracked players

4,564Matches

53.2%Match win rate · Top 10% of tracked players

56.9%Headshot % · Top 25% of tracked players

20.2%Shot accuracy · Top 5% of tracked players

16,099MVPs

5,769Hours (in match)

11,803Bombs planted

2,581Bombs defused

Most-used weapons

AK-4786,659

M4A4 / M4A1-S41,325

P2000 / USP-S17,264

Desert Eagle14,891

AWP12,169

SG 5539,207

FAMAS6,683

Glock-186,269

P2504,494

Knife4,229

Lifetime map wins

13,707inferno

11,908dust2

7,947train

7,835nuke

2,603cbble

2,292vertigo

54dust

46office

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

Faceit stats

Combat

2,336Matches

57%Win rate

1.25Avg K/D

89.7ADR

54%Headshot %

Clutches & streaks

41%1v1 clutch win

29%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	64	58%	1.21	17.3
Inferno	33	45%	1.18	18.6
Nuke	28	64%	1.17	17.4
Vertigo	23	39%	1.18	17.4
Anubis	23	61%	1.17	17.8
Ancient	22	36%	1.24	17.4
Dust2	19	53%	1.24	19.2
Overpass	12	58%	1.14	19.2

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.

29.5%Headshot accuracy

36.3%Accuracy (enemy spotted)

39.5%Spray accuracy

88.6%Counter-strafing

8.0°Preaim

546msReaction time

54.2%T opening success

61.8%CT opening success

0.73Enemies flashed / flash

9.0%Flash assists

9.65HE damage / grenade

8.73Flashes / match

Recommended for you

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.

40% 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
nuke	13–7	0.02	35%	25 Aug →
cache	11–13	0.11	36%	25 Aug →
nuke	9–13	0.01	22%	25 Aug →
mirage	13–7	0.12	38%	25 Aug →
dust2	7–13	0.04	29%	24 Aug →
dust2	13–2	0.02	27%	24 Aug →
dust2	16–14	0.00	40%	24 Aug →
ancient	13–11	0.08	26%	11 Aug →
nuke	13–8	0.04	32%	11 Aug →
inferno	13–3	0.03	19%	11 Aug →
mirage	13–11	0.09	25%	10 Aug →
inferno	5–13	-0.01	45%	9 Aug →
mirage	13–0	0.00	0%	9 Aug →
cache	10–13	0.17	27%	9 Aug →
inferno	6–13	0.07	46%	8 Aug →
mirage	13–7	0.12	26%	8 Aug →
inferno	2–13	0.06	35%	8 Aug →
anubis	13–8	0.11	23%	19 Jul →
inferno	13–6	0.12	24%	19 Jul →
mirage	13–11	0.07	22%	18 Jul →
mirage	4–2	0.06	25%	18 Jul →
cache	2–13	0.07	23%	13 Jul →
mirage	5–13	-0.07	10%	5 Jul →
nuke	13–11	0.05	30%	1 Jul →
mirage	13–11	0.00	23%	1 Jul →
mirage	13–5	0.13	41%	1 Jul →
inferno	13–7	-0.00	41%	15 Jun →
mirage	13–5	0.04	31%	24 May →
mirage	8–13	0.04	23%	23 May →
cache	13–7	0.04	35%	18 May →
inferno	16–12	0.04	35%	17 May →
dust2	13–9	0.05	34%	17 May →
nuke	7–9	0.05	44%	12 May →
mirage	13–10	0.09	27%	3 May →
overpass	13–8	0.02	27%	3 May →
mirage	13–10	-0.00	31%	3 May →
nuke	13–5	0.09	36%	3 May →
ancient	6–13	0.05	25%	3 May →
cache	13–7	0.09	38%	28 Apr →
inferno	13–5	0.11	36%	27 Apr →
dust2	13–10	0.01	23%	27 Apr →
ancient	13–9	0.01	37%	27 Apr →
dust2	13–10	-0.05	34%	26 Apr →
inferno	13–4	0.08	30%	25 Apr →
dust2	4–13	0.03	39%	25 Apr →
nuke	9–13	0.00	20%	25 Apr →
mirage	3–13	-0.04	28%	25 Apr →
anubis	11–13	0.01	20%	4 Apr →
mirage	13–6	0.11	42%	4 Apr →
dust2	13–5	-0.03	22%	4 Apr →
mirage	9–13	0.02	23%	4 Apr →
overpass	10–13	0.05	29%	10 Mar →
nuke	13–4	0.09	17%	8 Mar →
anubis	4–13	0.01	32%	8 Mar →
dust2	10–13	-0.03	26%	8 Mar →
inferno	13–8	0.06	31%	8 Mar →
mirage	13–11	0.07	26%	8 Mar →
mirage	13–4	0.07	20%	8 Mar →
train	12–12	0.06	28%	17 Oct →
inferno	9–5	0.10	31%	12 Oct →
inferno	9–1	0.05	50%	12 Oct →
inferno	4–9	-0.13	32%	10 Oct →
mirage	14–16	-0.04	17%	8 Oct →
ancient	12–12	0.02	21%	7 Oct →
dust2	8–13	-0.03	36%	26 Sept →
inferno	11–13	0.00	18%	26 Sept →
dust2	13–8	-0.02	28%	26 Sept →
ancient	4–13	-0.04	30%	25 Sept →
dust2	3–5	0.00	0%	16 Sept →
inferno	13–5	0.11	28%	7 Sept →
overpass	13–11	0.02	21%	7 Sept →
ancient	2–13	-0.06	15%	7 Sept →
nuke	1–13	-0.06	12%	7 Sept →
nuke	10–13	-0.03	26%	14 Aug →
inferno	13–9	0.02	29%	14 Aug →
mirage	13–2	0.06	26%	13 Aug →
overpass	13–10	0.03	21%	12 Aug →
mirage	9–13	0.04	25%	12 Aug →
ancient	16–13	0.00	22%	12 Aug →
mirage	12–12	-0.01	17%	12 Aug →
train	12–12	0.09	32%	12 Aug →
mirage	6–1	0.02	44%	12 Aug →
mirage	9–13	0.12	26%	30 Jul →
dust2	10–13	0.00	18%	29 Jul →
mirage	13–7	0.02	27%	24 Jul →
inferno	13–9	-0.01	15%	23 Jul →
overpass	13–9	0.12	27%	21 Jul →
overpass	13–11	0.11	27%	19 Jul →
overpass	13–7	0.10	19%	16 Jul →
dust2	13–11	0.03	21%	10 Jul →
mirage	13–9	0.12	22%	9 Jul →
nuke	15–15	-0.06	20%	9 Jul →
anubis	7–13	0.03	22%	7 Jul →
nuke	6–13	0.01	20%	7 Jul →
inferno	13–7	0.02	16%	3 Jul →
dust2	6–13	0.06	31%	3 Jul →
inferno	13–10	0.11	31%	2 Jul →
ancient	13–4	0.15	28%	2 Jul →
ancient	2–13	-0.04	40%	30 Jun →
dust2	13–9	0.05	20%	27 Jun →