chimp — CS2 Stats

76561198448043355[U:1:487777627]

2,334Tracked matches61%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating22,099Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)

CSDB Leaderboard#6216 of 20039 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61

Positioning47

Utility73

0–100 skill scores via Leetify.

Recent form

HOT54–37–9Last 10054%Win rateWWWLWWWLWT

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

Player DNA

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

Aim6.1

Aggression6.7

Utility7.3

Positioning4.7

Opening Duels2.5

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 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.1

Positioning4.7

Utility7.3

Mechanics7.0

Opening Duels2.5

Win Impact8.6

Composite 6.1/10 (Solid), 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 rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time542ms−53ms

first ⅓ avg 595ms → last ⅓ avg 542ms

Headshot accuracy12.0%−3.5%

first ⅓ avg 15.5% → last ⅓ avg 12.0%

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 — debris 9–3

13–1Biggest win — nuke

10Longest win streak

W3Current streak

8–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 78% over 9trainWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	20	15–5	75%	0.02
inferno	A	14	8–6	57%	0.01
nuke	C	13	5–8	38%	-0.01
mirage	C	12	5–7	42%	0.02
cache	C	12	5–7	42%	-0.01
anubis	S	9	7–2	78%	0.01
train	D	5	1–4	20%	-0.05
poseidon	—	3	1–2	33%	0.01
vertigo	—	3	1–2	33%	0.01
office	—	2	1–1	50%	-0.07
debris	—	2	2–0	100%	0.14
ancient	—	2	1–1	50%	0.06
italy	—	1	0–1	0%	0.05
eldorado	—	1	1–0	100%	0.11
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

44Matches

36%Win rate

1.14Avg K/D

—ADR

37%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLL

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.

12.1%Headshot accuracy

35.6%Accuracy (enemy spotted)

35.2%Spray accuracy

81.7%Counter-strafing

12.1°Preaim

538msReaction time

34.0%T opening success

45.7%CT opening success

0.65Enemies flashed / flash

6.9%Flash assists

14.05HE damage / grenade

8.16Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1305° — above the 12° mark we flag
Aim Training →
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 12.0563% — below the 15% mark we flag
Aim Training →

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	-0.02	4%	28 Aug →
dust2	13–3	0.00	13%	28 Aug →
mirage	13–7	0.13	12%	28 Aug →
nuke	6–6	0.01	9%	27 Aug →
dust2	13–2	0.04	21%	27 Aug →
dust2	7–0	0.08	24%	27 Aug →
inferno	13–10	-0.03	16%	27 Aug →
mirage	10–13	-0.01	13%	26 Aug →
dust2	13–11	-0.02	9%	26 Aug →
nuke	12–12	0.05	15%	26 Aug →
anubis	13–11	0.05	10%	26 Aug →
anubis	13–10	0.05	10%	25 Aug →
cache	13–7	-0.02	9%	25 Aug →
dust2	10–1	0.03	18%	25 Aug →
dust2	13–8	0.02	7%	24 Aug →
poseidon	6–9	-0.05	4%	24 Aug →
cache	3–13	-0.06	11%	22 Aug →
dust2	10–13	0.05	11%	22 Aug →
inferno	9–13	-0.03	14%	22 Aug →
dust2	13–9	0.03	11%	18 Aug →
anubis	13–9	0.02	7%	18 Aug →
nuke	13–9	0.06	17%	18 Aug →
cache	5–13	-0.02	13%	18 Aug →
mirage	6–13	-0.02	17%	17 Aug →
cache	5–13	0.01	10%	17 Aug →
cache	16–13	0.06	12%	16 Aug →
train	8–13	-0.09	0%	13 Aug →
anubis	2–13	-0.07	13%	13 Aug →
inferno	8–8	0.03	13%	13 Aug →
dust2	13–11	-0.01	18%	13 Aug →
inferno	12–12	0.02	14%	13 Aug →
nuke	9–13	-0.03	14%	11 Aug →
inferno	16–13	-0.02	9%	11 Aug →
nuke	1–9	-0.15	9%	11 Aug →
train	10–13	-0.10	8%	10 Aug →
inferno	10–13	-0.04	9%	10 Aug →
anubis	13–6	0.01	9%	10 Aug →
nuke	9–2	0.08	17%	10 Aug →
inferno	10–13	0.03	6%	10 Aug →
dust2	13–10	-0.01	14%	10 Aug →
italy	12–12	0.05	8%	5 Aug →
office	13–10	-0.05	8%	5 Aug →
mirage	13–6	0.06	14%	5 Aug →
cache	13–11	-0.01	8%	4 Aug →
mirage	12–12	-0.01	12%	4 Aug →
vertigo	12–12	-0.02	16%	4 Aug →
nuke	9–7	-0.03	9%	4 Aug →
dust2	13–11	-0.01	19%	4 Aug →
mirage	6–13	0.03	12%	3 Aug →
nuke	8–13	-0.09	23%	3 Aug →
dust2	7–13	-0.01	11%	3 Aug →
dust2	12–12	-0.03	12%	3 Aug →
mirage	13–11	-0.05	12%	3 Aug →
cache	6–1	0.03	14%	3 Aug →
nuke	13–1	-0.03	10%	3 Aug →
vertigo	5–13	-0.07	0%	3 Aug →
dust2	13–4	-0.00	19%	2 Aug →
inferno	10–13	0.04	8%	1 Aug →
anubis	11–13	-0.02	10%	1 Aug →
inferno	16–13	0.03	8%	1 Aug →
nuke	12–12	0.06	12%	31 Jul →
dust2	13–7	0.08	24%	31 Jul →
cache	11–13	0.01	4%	31 Jul →
mirage	4–10	0.01	8%	31 Jul →
train	13–1	0.02	2%	30 Jul →
dust2	13–8	0.03	8%	30 Jul →
eldorado	9–6	0.11	9%	30 Jul →
poseidon	7–9	-0.00	13%	30 Jul →
debris	9–3	0.15	11%	30 Jul →
anubis	16–13	0.03	13%	30 Jul →
anubis	13–9	-0.04	10%	30 Jul →
nuke	13–7	0.01	18%	30 Jul →
inferno	13–3	0.01	7%	30 Jul →
dust2	13–9	0.00	14%	30 Jul →
vertigo	13–6	0.12	12%	30 Jul →
overpass	13–10	0.04	5%	30 Jul →
inferno	13–10	0.02	9%	30 Jul →
cache	13–3	-0.02	12%	30 Jul →
train	8–13	-0.01	15%	29 Jul →
inferno	13–2	0.00	9%	29 Jul →
ancient	8–4	0.03	25%	29 Jul →
dust2	10–13	0.04	19%	29 Jul →
mirage	12–12	-0.00	23%	29 Jul →
nuke	11–13	-0.01	13%	28 Jul →
cache	11–13	-0.02	19%	27 Jul →
train	4–13	-0.05	5%	27 Jul →
anubis	13–6	0.04	9%	27 Jul →
cache	5–13	-0.01	8%	27 Jul →
dust2	13–4	-0.01	19%	27 Jul →
mirage	13–8	0.06	17%	27 Jul →
poseidon	9–7	0.08	11%	27 Jul →
debris	9–4	0.13	13%	27 Jul →
cache	10–13	-0.02	15%	27 Jul →
mirage	8–13	0.01	10%	27 Jul →
office	2–13	-0.08	6%	26 Jul →
nuke	7–13	-0.03	14%	26 Jul →
dust2	10–13	0.01	19%	26 Jul →
ancient	11–13	0.09	11%	26 Jul →
inferno	13–7	0.10	10%	26 Jul →
mirage	4–0	0.05	100%	24 Jul →