ChimpinOut — CS2 Stats

76561199481031283[U:1:1520765555]Steam profile ↗✓ No bans

584Tracked matches45%Win rate2023Tracked since

722Hours in CS

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating15,211Purple band · top ~27.6% of ranked players (population est.)

CSDB Leaderboard#10954 of 17182 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning54

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–42–10Last 10048%Win rateTLWWTTWTWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim6.4

Aggression5.6

Utility4.5

Positioning5.4

Opening Duels1.5

Clutch0.0

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 622ms 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

Aim6.4

Positioning5.4

Utility4.5

Mechanics6.9

Opening Duels1.5

Win Impact3.5

Composite 5.2/10 (Developing), 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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time622ms−26ms

first ⅓ avg 647ms → last ⅓ avg 622ms

Headshot accuracy19.8%+0.6%

first ⅓ avg 19.2% → last ⅓ avg 19.8%

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

0.14Best rating — mirage 13–2

13–0Biggest win — train

8Longest win streak

3–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	20	13–7	65%	0.02
train	B	17	9–8	53%	0.01
cache	B	16	8–8	50%	0.03
dust2	D	11	2–9	18%	0.03
ancient	S	11	8–3	73%	0.00
anubis	C	8	3–5	38%	0.00
nuke	—	4	0–4	0%	-0.04
vertigo	—	4	2–2	50%	0.03
inferno	—	4	1–3	25%	-0.04
overpass	—	3	2–1	67%	0.04
office	—	1	0–1	0%	-0.07
shelter	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,449Lifetime kills

1.20K/D · Top 25% of tracked players

875Matches

45.5%Match win rate

54.8%Headshot % · Top 25% of tracked players

5.0%Shot accuracy

2,096MVPs

722Hours (in match)

876Bombs planted

273Bombs defused

Most-used weapons

AK-478,580

M4A4 / M4A1-S2,965

Desert Eagle1,230

AWP1,030

P2000 / USP-S821

Glock-18815

MP9624

MAC-10338

Galil AR199

MAG-7174

Lifetime map wins

953inferno

746dust2

343nuke

325train

325vertigo

15office

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

Faceit stats

Combat

1Matches

100%Win rate

0.89Avg K/D

58.9ADR

50%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest 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.

19.1%Headshot accuracy

31.7%Accuracy (enemy spotted)

32.7%Spray accuracy

81.0%Counter-strafing

9.1°Preaim

622msReaction time

37.2%T opening success

34.9%CT opening success

0.50Enemies flashed / flash

3.3%Flash assists

9.29HE damage / grenade

8.04Flashes / 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 37.1769% — below the 40% mark we flag

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.

18% win rate across 11 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
train	12–12	-0.04	26%	12 Aug →
train	9–13	-0.03	27%	12 Aug →
mirage	13–7	0.04	14%	12 Aug →
train	13–10	-0.03	24%	12 Aug →
dust2	12–12	0.10	29%	12 Aug →
nuke	12–12	-0.07	25%	11 Aug →
mirage	13–7	0.00	27%	11 Aug →
train	12–12	0.06	16%	11 Aug →
cache	13–10	0.06	26%	11 Aug →
train	4–0	0.06	40%	11 Aug →
dust2	12–12	-0.00	19%	11 Aug →
train	6–13	-0.04	18%	11 Aug →
office	3–13	-0.07	22%	8 Aug →
cache	13–5	-0.00	13%	8 Aug →
vertigo	8–13	-0.03	20%	8 Aug →
ancient	13–5	0.04	22%	8 Aug →
dust2	10–13	0.02	15%	8 Aug →
train	8–13	-0.00	13%	8 Aug →
anubis	12–12	0.03	13%	8 Aug →
cache	13–8	-0.02	20%	8 Aug →
cache	11–13	0.04	28%	7 Aug →
ancient	6–13	-0.08	14%	7 Aug →
anubis	10–13	-0.00	8%	5 Aug →
cache	12–12	0.05	19%	5 Aug →
ancient	13–11	0.01	16%	5 Aug →
mirage	13–2	0.06	11%	5 Aug →
train	9–13	0.01	24%	5 Aug →
shelter	4–13	0.06	18%	4 Aug →
inferno	12–12	-0.01	8%	4 Aug →
anubis	9–13	-0.00	9%	3 Aug →
cache	5–13	-0.06	26%	3 Aug →
train	13–0	0.04	17%	3 Aug →
mirage	9–13	-0.00	25%	3 Aug →
train	13–9	0.10	18%	3 Aug →
nuke	10–13	-0.03	16%	1 Aug →
train	13–11	0.05	12%	1 Aug →
anubis	9–13	0.02	16%	1 Aug →
mirage	13–7	-0.04	19%	31 Jul →
mirage	13–10	-0.03	8%	31 Jul →
cache	13–7	0.04	23%	31 Jul →
anubis	13–6	-0.05	12%	31 Jul →
ancient	13–1	0.08	12%	30 Jul →
overpass	8–2	0.03	25%	30 Jul →
mirage	13–4	0.09	15%	29 Jul →
ancient	13–8	0.13	13%	29 Jul →
train	12–12	-0.04	15%	29 Jul →
mirage	0–13	-0.05	18%	28 Jul →
dust2	14–16	0.03	22%	28 Jul →
mirage	13–3	0.10	19%	28 Jul →
overpass	13–8	0.04	15%	28 Jul →
vertigo	13–9	0.05	27%	28 Jul →
overpass	4–8	0.06	29%	28 Jul →
ancient	13–5	-0.00	24%	28 Jul →
ancient	13–10	-0.08	8%	28 Jul →
ancient	13–10	0.00	12%	28 Jul →
dust2	10–13	-0.01	43%	27 Jul →
inferno	13–4	-0.06	13%	27 Jul →
ancient	8–13	-0.00	17%	26 Jul →
mirage	8–13	-0.04	20%	26 Jul →
mirage	9–13	-0.05	15%	26 Jul →
anubis	0–4	-0.07	33%	26 Jul →
mirage	10–4	-0.03	13%	26 Jul →
cache	13–9	0.13	17%	22 Jul →
anubis	13–9	0.03	32%	22 Jul →
inferno	4–13	-0.05	10%	21 Jul →
cache	11–13	0.01	17%	21 Jul →
cache	11–13	0.06	15%	21 Jul →
cache	13–8	0.01	21%	21 Jul →
vertigo	13–3	0.11	22%	21 Jul →
train	13–8	-0.03	17%	21 Jul →
dust2	10–13	0.02	17%	21 Jul →
ancient	1–13	-0.08	19%	21 Jul →
cache	13–11	0.05	19%	21 Jul →
mirage	13–2	0.14	33%	20 Jul →
cache	9–13	0.01	24%	20 Jul →
mirage	13–5	0.08	16%	20 Jul →
dust2	13–6	0.04	33%	15 Jul →
mirage	9–13	0.07	28%	15 Jul →
train	13–8	0.11	30%	15 Jul →
cache	12–12	-0.02	10%	15 Jul →
dust2	13–5	0.11	23%	9 Jul →
mirage	13–6	0.04	6%	9 Jul →
train	13–3	0.02	24%	9 Jul →
cache	13–7	0.10	18%	9 Jul →
mirage	9–13	-0.00	21%	9 Jul →
dust2	4–13	0.03	26%	7 Jul →
cache	2–13	-0.02	4%	7 Jul →
mirage	13–8	0.07	15%	7 Jul →
mirage	5–13	-0.03	13%	7 Jul →
ancient	13–7	0.01	14%	7 Jul →
train	13–8	-0.02	15%	7 Jul →
train	11–13	0.03	21%	30 Jun →
nuke	9–13	-0.03	18%	30 Jun →
anubis	13–6	0.04	6%	30 Jun →
vertigo	1–13	0.01	30%	27 Jun →
mirage	13–9	-0.04	19%	27 Jun →
dust2	3–13	-0.08	24%	27 Jun →
inferno	9–13	-0.03	13%	27 Jun →
nuke	8–13	-0.03	17%	23 Jun →
dust2	5–13	0.04	17%	23 Jun →