cat — CS2 Stats

BS76561198041736670[U:1:81470942]Steam profile ↗✓ No bans

1,040Tracked matches48%Win rate2020Tracked since

2,938Hours in CS75Hrs last 2 wks

CSDB Rating5.3 DevelopingPositional Player

Ladder ranks via Leetify

Performance scores

Aim73

Positioning56

Utility35

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateTWTLLLLLLW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −1.8pp headshot accuracy · −19ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–2–2 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 26%
Avg reaction 567ms

Last 10

2–6–2 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 556ms

Last 20

5–12–3 · 25% win rate
Avg rating 0.00
Avg headshot accuracy 24%
Avg reaction 566ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim7.3

Utility3.5

Positioning5.6

Opening Duels3.5

Clutch0.0

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

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

Reaction time. 553ms 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

Aim7.3

Positioning5.6

Utility3.5

Mechanics4.7

Opening Duels3.5

Win Impact4.4

Composite 5.3/10 (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 rating0.00+0.03

first ⅓ avg -0.03 → last ⅓ avg 0.00

Reaction time556ms−86ms

first ⅓ avg 642ms → last ⅓ avg 556ms

Headshot accuracy27.3%−4.5%

first ⅓ avg 31.7% → last ⅓ avg 27.3%

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.

Personal bests

0.17Best match rating · 13–5 · nuke, 17 Oct →

59%Best headshot accuracy · 13–11 · nuke, 13 Oct →

328msFastest reaction time · 8–13 · nuke, 27 Oct →

13–0Biggest win · overpass, 20 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

4–3In matches decided by ≤2 rounds

Map breakdown

officeBest map · 71% over 7cacheWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	44	26–18	59%	-0.01
cache	C	12	5–7	42%	0.02
mirage	B	10	5–5	50%	-0.02
office	S	7	5–2	71%	-0.01
dust2	B	6	3–3	50%	0.00
overpass	A	5	3–2	60%	0.04
ancient	—	4	1–3	25%	-0.02
train	—	4	2–2	50%	-0.00
vertigo	—	3	0–3	0%	-0.06
fachwerk	—	2	2–0	100%	0.06
inferno	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	0.00
boulder	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

73,117Lifetime kills

0.91K/D

4,534Matches

39.1%Match win rate

39.5%Headshot %

13.7%Shot accuracy · Top 50% of tracked players

10,447MVPs

1,727Hours (in match)

3,423Bombs planted

857Bombs defused

Most-used weapons

AWP11,826

AK-4711,308

SSG 089,936

Desert Eagle7,958

M4A4 / M4A1-S6,786

P2504,059

P2000 / USP-S3,632

Glock-182,961

Knife2,320

P901,111

Lifetime map wins

9,107nuke

6,182dust2

2,928inferno

1,188office

1,112vertigo

800train

506cbble

156militia

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

Faceit stats

Combat

2Matches

50%Win rate

1.24Avg K/D

83.3ADR

30%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLWL

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.

26.1%Headshot accuracy

33.1%Accuracy (enemy spotted)

46.2%Spray accuracy

71.2%Counter-strafing

12.5°Preaim

553msReaction time

42.1%T opening success

46.1%CT opening success

0.38Enemies flashed / flash

4.1%Flash assists

9.20HE damage / grenade

3.53Flashes / 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 12.4646° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3777 — below the 0.5 mark we flag
Grenade Lineups →

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	12–12	0.02	21%	27 Oct →
inferno	13–3	0.03	35%	27 Oct →
nuke	12–12	0.04	18%	27 Oct →
nuke	5–13	-0.05	30%	27 Oct →
nuke	8–13	-0.07	24%	27 Oct →
overpass	8–13	0.14	28%	27 Oct →
dust2	9–13	0.04	8%	27 Oct →
vertigo	6–13	-0.02	21%	27 Oct →
dust2	8–13	0.04	34%	27 Oct →
mirage	13–10	0.01	13%	26 Oct →
nuke	7–13	-0.02	9%	26 Oct →
dust2	10–13	-0.02	30%	26 Oct →
vertigo	11–13	-0.05	41%	26 Oct →
nuke	3–13	-0.00	26%	26 Oct →
office	12–12	-0.01	13%	26 Oct →
overpass	13–4	0.04	24%	26 Oct →
nuke	9–13	-0.03	32%	26 Oct →
nuke	5–13	-0.07	24%	26 Oct →
ancient	13–11	-0.00	23%	26 Oct →
cache	13–10	-0.01	29%	26 Oct →
train	13–2	0.00	43%	26 Oct →
dust2	13–6	0.01	36%	26 Oct →
mirage	5–13	-0.04	18%	26 Oct →
nuke	13–10	-0.04	44%	24 Oct →
cache	8–13	-0.03	22%	24 Oct →
cache	13–2	0.07	28%	24 Oct →
mirage	13–5	-0.02	24%	24 Oct →
office	13–7	-0.01	23%	24 Oct →
nuke	13–5	0.01	41%	23 Oct →
nuke	13–11	-0.09	31%	23 Oct →
cache	12–12	0.09	31%	21 Oct →
cache	13–6	0.02	44%	21 Oct →
overpass	13–0	0.06	33%	20 Oct →
nuke	8–13	0.01	14%	20 Oct →
nuke	5–0	0.11	56%	20 Oct →
mirage	13–4	0.03	18%	20 Oct →
cache	13–5	0.00	28%	19 Oct →
fachwerk	13–11	0.05	25%	19 Oct →
mirage	3–13	-0.05	23%	19 Oct →
nuke	13–5	-0.00	33%	19 Oct →
cache	6–13	0.04	38%	19 Oct →
cache	4–13	0.01	20%	19 Oct →
office	13–0	0.05	28%	19 Oct →
nuke	13–8	-0.07	9%	19 Oct →
office	9–13	-0.06	26%	18 Oct →
nuke	6–13	-0.01	27%	18 Oct →
nuke	13–8	0.01	27%	18 Oct →
nuke	13–3	-0.05	25%	18 Oct →
nuke	12–3	0.13	44%	18 Oct →
nuke	13–7	0.03	43%	18 Oct →
nuke	8–13	-0.07	38%	18 Oct →
nuke	13–6	-0.06	40%	18 Oct →
mirage	13–6	0.02	18%	18 Oct →
nuke	8–3	0.00	22%	18 Oct →
cache	11–13	0.07	22%	18 Oct →
cache	9–13	0.04	24%	18 Oct →
nuke	3–13	-0.08	41%	18 Oct →
italy	4–13	0.00	35%	18 Oct →
overpass	13–4	0.01	43%	18 Oct →
fachwerk	13–3	0.06	9%	17 Oct →
cache	5–13	0.02	34%	17 Oct →
nuke	8–13	-0.04	39%	17 Oct →
mirage	2–13	-0.07	0%	17 Oct →
nuke	13–5	0.17	30%	17 Oct →
nuke	13–8	0.00	43%	17 Oct →
nuke	13–2	0.04	23%	16 Oct →
nuke	13–6	0.01	37%	16 Oct →
vertigo	7–13	-0.11	47%	16 Oct →
nuke	13–7	0.06	34%	16 Oct →
mirage	12–12	0.01	26%	16 Oct →
nuke	7–13	-0.10	53%	16 Oct →
nuke	13–9	-0.07	27%	16 Oct →
nuke	10–13	-0.02	57%	16 Oct →
boulder	8–13	-0.06	25%	16 Oct →
nuke	7–3	-0.03	33%	16 Oct →
train	6–13	0.00	22%	15 Oct →
mirage	13–8	0.01	31%	15 Oct →
office	13–8	0.01	50%	15 Oct →
nuke	13–5	0.00	32%	15 Oct →
nuke	13–8	-0.02	14%	15 Oct →
office	13–9	0.00	22%	15 Oct →
overpass	6–13	-0.05	32%	15 Oct →
nuke	6–13	0.02	40%	15 Oct →
nuke	7–13	-0.02	27%	15 Oct →
nuke	13–10	-0.03	18%	14 Oct →
cache	13–3	-0.05	15%	14 Oct →
ancient	2–13	-0.09	8%	14 Oct →
office	8–4	-0.07	30%	14 Oct →
dust2	13–10	-0.06	17%	14 Oct →
nuke	13–8	-0.07	48%	14 Oct →
nuke	11–13	-0.02	22%	14 Oct →
nuke	13–0	0.03	32%	14 Oct →
nuke	13–6	-0.01	19%	14 Oct →
ancient	12–12	-0.03	38%	14 Oct →
nuke	7–13	-0.05	52%	14 Oct →
train	1–13	-0.01	40%	14 Oct →
nuke	13–11	-0.02	59%	13 Oct →
dust2	13–8	-0.01	29%	12 Oct →
mirage	10–13	-0.07	23%	12 Oct →
train	13–10	0.00	25%	12 Oct →