keetohwo — CS2 Stats

US76561198223642504[U:1:263376776]Steam profile ↗✓ No bans

1,704Tracked matches81%Win rate2020Tracked since

5,898Hours in CS

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating23,930Top 50% of 819 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)

CSDB Leaderboard#3185 of 14436 tracked

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=218), 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	59.4%	52.8%
Shot accuracy	19.4%	13.7%
Kill/death ratio	1.47	1.08
Match win rate	51.7%	49.2%

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Performance scores

Aim93

Positioning52

Utility67

0–100 skill scores via Leetify.

Recent form

HOT68–25–7Last 10068%Win rateTTWWWWWWWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.3

Aggression6.7

Utility6.7

Positioning5.2

Opening Duels2.1

Clutch8.4

Sharp aimerStrong CT-side openerReliable 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 Twistzz 96% playstyle similarity

Most alike: aim profile, 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.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim9.3

Positioning5.2

Utility6.7

Mechanics7.4

Opening Duels3.0

Win Impact10.0

Composite 7.4/10 (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+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time540ms−23ms

first ⅓ avg 563ms → last ⅓ avg 540ms

Headshot accuracy28.1%+0.2%

first ⅓ avg 27.9% → last ⅓ avg 28.1%

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

0.22Best rating — office 13–6

13–0Biggest win — train

10Longest win streak

3–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 83% over 6cacheWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	16	11–5	69%	0.01
ancient	S	15	11–4	73%	0.02
inferno	S	15	10–5	67%	0.02
cache	C	14	6–8	43%	0.02
mirage	A	11	7–4	64%	0.01
nuke	S	10	8–2	80%	0.01
anubis	S	7	5–2	71%	0.03
train	S	6	5–1	83%	0.06
vertigo	—	4	3–1	75%	0.06
overpass	—	1	1–0	100%	-0.04
office	—	1	1–0	100%	0.22

Across the last 100 tracked matches.

Lifetime stats

481,492Lifetime kills

1.47K/D · Top 10% of Level 10 players

10,364Matches

51.7%Match win rate · Top 50% of Level 10 players

59.4%Headshot % · Top 50% of Level 10 players

19.4%Shot accuracy · Top 5% of Level 10 players

44,033MVPs

5,898Hours (in match)

9,389Bombs planted

7,447Bombs defused

Most-used weapons

AK-47233,913

M4A4 / M4A1-S57,978

AWP42,847

P2000 / USP-S39,762

Desert Eagle34,278

Glock-1815,649

Negev9,445

SG 5535,996

P2505,873

UMP-455,519

Lifetime map wins

30,848dust2

15,339inferno

7,516train

4,361nuke

3,505vertigo

2,086cbble

666office

118aztec

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

Faceit stats

Combat

1,288Matches

54%Win rate

1.23Avg K/D

80.5ADR

50%Headshot %

Clutches & streaks

62%1v1 clutch win

26%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	54%	1.18	15.5
Ancient	20	65%	1.23	17.6
Anubis	17	71%	1.15	14.3
Vertigo	11	45%	1.07	18.7
Nuke	8	88%	1.76	18.1
Inferno	6	17%	1.20	13.5
Dust2	6	33%	0.99	15.2
Overpass	5	20%	0.89	13.8

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.

27.7%Headshot accuracy

39.1%Accuracy (enemy spotted)

44.5%Spray accuracy

83.2%Counter-strafing

8.0°Preaim

556msReaction time

23.1%T opening success

53.9%CT opening success

0.66Enemies flashed / flash

8.2%Flash assists

13.96HE damage / grenade

18.83Flashes / 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 23.1115% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	-0.01	37%	26 Aug →
ancient	12–12	-0.04	17%	26 Aug →
dust2	13–8	-0.03	13%	26 Aug →
train	13–0	0.14	40%	25 Aug →
dust2	13–1	0.02	27%	24 Aug →
dust2	1–0	-0.24	0%	24 Aug →
ancient	13–9	0.04	13%	24 Aug →
nuke	13–6	0.08	40%	24 Aug →
train	13–6	0.06	36%	18 Aug →
ancient	13–16	0.01	30%	17 Aug →
vertigo	12–12	0.02	24%	17 Aug →
ancient	12–12	-0.05	16%	16 Aug →
dust2	11–13	0.07	37%	16 Aug →
inferno	13–3	0.05	27%	16 Aug →
vertigo	13–4	0.13	28%	16 Aug →
overpass	13–1	-0.04	24%	16 Aug →
mirage	13–7	0.07	17%	16 Aug →
cache	6–13	0.04	30%	16 Aug →
mirage	13–5	0.01	34%	15 Aug →
nuke	13–5	0.04	30%	15 Aug →
mirage	13–3	-0.01	24%	15 Aug →
anubis	13–9	0.08	27%	15 Aug →
dust2	13–9	0.03	34%	15 Aug →
dust2	13–2	0.06	39%	15 Aug →
ancient	13–0	0.02	19%	15 Aug →
inferno	12–0	0.06	39%	15 Aug →
dust2	4–13	0.02	28%	14 Aug →
cache	5–13	0.06	42%	14 Aug →
inferno	13–9	0.06	25%	14 Aug →
cache	13–8	-0.00	20%	14 Aug →
train	1–11	-0.02	57%	9 Aug →
vertigo	13–10	0.06	24%	9 Aug →
anubis	13–7	0.10	29%	9 Aug →
train	13–3	0.12	22%	9 Aug →
office	13–6	0.22	45%	9 Aug →
ancient	13–8	0.01	28%	9 Aug →
inferno	12–12	-0.06	21%	9 Aug →
nuke	13–4	0.10	45%	9 Aug →
dust2	13–2	0.12	46%	9 Aug →
nuke	13–8	0.02	24%	9 Aug →
mirage	13–4	0.03	42%	9 Aug →
mirage	0–6	-0.08	38%	9 Aug →
dust2	4–13	-0.05	13%	8 Aug →
vertigo	13–9	0.06	26%	4 Aug →
cache	14–16	0.04	25%	2 Aug →
mirage	13–5	0.02	34%	2 Aug →
anubis	13–6	0.06	13%	1 Aug →
inferno	13–11	0.04	21%	1 Aug →
mirage	8–13	-0.06	31%	1 Aug →
anubis	6–13	-0.00	22%	29 Jul →
inferno	13–6	0.08	31%	29 Jul →
cache	13–10	0.00	25%	28 Jul →
train	13–3	-0.05	33%	28 Jul →
mirage	13–2	0.01	38%	28 Jul →
ancient	13–4	-0.01	15%	28 Jul →
anubis	0–3	-0.14	0%	28 Jul →
dust2	12–12	-0.03	19%	28 Jul →
nuke	13–3	-0.06	35%	28 Jul →
dust2	13–2	0.04	21%	27 Jul →
inferno	4–13	-0.03	26%	27 Jul →
ancient	13–5	0.10	16%	27 Jul →
dust2	13–10	0.07	23%	27 Jul →
train	13–6	0.09	23%	27 Jul →
inferno	0–13	-0.02	0%	27 Jul →
cache	3–13	-0.03	32%	27 Jul →
ancient	13–9	0.02	14%	27 Jul →
nuke	2–4	-0.12	100%	26 Jul →
nuke	11–13	0.00	36%	24 Jul →
ancient	13–3	0.05	25%	24 Jul →
anubis	13–1	0.10	25%	24 Jul →
inferno	13–5	0.13	55%	24 Jul →
nuke	13–6	-0.01	20%	24 Jul →
ancient	15–15	-0.05	12%	24 Jul →
inferno	13–3	-0.03	27%	24 Jul →
cache	0–13	-0.05	40%	24 Jul →
ancient	13–8	0.08	21%	24 Jul →
inferno	5–13	-0.03	20%	24 Jul →
cache	9–0	0.10	43%	24 Jul →
mirage	13–9	-0.01	27%	23 Jul →
nuke	13–3	0.02	36%	23 Jul →
ancient	13–7	0.02	20%	23 Jul →
inferno	11–4	0.04	15%	23 Jul →
cache	13–9	0.04	38%	23 Jul →
inferno	13–8	0.05	23%	23 Jul →
inferno	13–6	0.07	23%	23 Jul →
dust2	13–5	0.04	17%	23 Jul →
cache	13–8	0.08	29%	22 Jul →
inferno	8–13	-0.10	30%	22 Jul →
cache	10–13	0.01	32%	22 Jul →
ancient	13–4	0.05	44%	22 Jul →
anubis	13–11	0.02	23%	22 Jul →
dust2	13–4	0.01	27%	22 Jul →
dust2	13–3	-0.05	43%	22 Jul →
cache	13–6	0.01	20%	22 Jul →
cache	0–13	-0.04	0%	22 Jul →
nuke	13–10	0.01	44%	22 Jul →
ancient	13–3	0.07	19%	22 Jul →
mirage	11–13	0.02	28%	22 Jul →
mirage	9–13	0.13	31%	22 Jul →
dust2	6–13	0.05	28%	22 Jul →