holding paws — CS2 Stats

US76561198025413760[U:1:65148032]Steam profile ↗✓ No bans

105Tracked matches33%Win rate2023Tracked since

1,036Hours in CS1Hrs last 2 wks

CSDB Rating4.7 Developing

Ladder ranks via Leetify

Performance scores

Aim55

Positioning39

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateTLLLWWWLLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.5

Aggression4.7

Utility5.0

Positioning3.9

Opening Duels1.1

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 715ms 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

Aim5.5

Positioning3.9

Utility5.0

Mechanics9.1

Opening Duels1.2

Win Impact0.0

Composite 4.7/10 (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 rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time710ms−66ms

first ⅓ avg 775ms → last ⅓ avg 710ms

Headshot accuracy20.0%+2.8%

first ⅓ avg 17.2% → last ⅓ avg 20.0%

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

0.20Best rating — overpass 8–0

13–0Biggest win — cache

3Longest win streak

7–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

vertigoBest map · 64% over 14ancientWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	16	6–10	38%	-0.02
dust2	C	14	6–8	43%	-0.02
vertigo	A	14	9–5	64%	-0.02
overpass	C	12	5–7	42%	-0.00
mirage	B	11	5–6	45%	-0.02
inferno	C	10	4–6	40%	-0.01
ancient	D	9	1–8	11%	-0.04
nuke	D	8	2–6	25%	-0.05
train	—	4	3–1	75%	0.05
anubis	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,574Lifetime kills

1.14K/D · Top 50% of tracked players

1,503Matches

35.3%Match win rate

49.7%Headshot % · Top 50% of tracked players

18.7%Shot accuracy · Top 10% of tracked players

1,920MVPs

538Hours (in match)

1,293Bombs planted

226Bombs defused

Most-used weapons

M4A4 / M4A1-S8,654

AK-478,440

AWP2,178

P2000 / USP-S1,559

Galil AR1,140

Glock-181,133

Desert Eagle947

P250900

P90895

Five-SeveN889

Lifetime map wins

5,840dust2

691inferno

459nuke

254vertigo

115lake

113train

46bank

43stmarc

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.7%Headshot accuracy

33.4%Accuracy (enemy spotted)

29.8%Spray accuracy

91.0%Counter-strafing

11.8°Preaim

715msReaction time

29.2%T opening success

39.8%CT opening success

0.54Enemies flashed / flash

5.0%Flash assists

8.88HE damage / grenade

8.18Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 714.6475ms — above the 700ms mark we flag
Aim Training →
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 29.1577% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	12–12	-0.09	21%	17 Aug →
cache	8–13	0.04	21%	16 Aug →
nuke	7–13	-0.03	26%	16 Aug →
mirage	2–13	-0.09	17%	16 Aug →
cache	13–4	0.04	24%	16 Aug →
train	13–2	0.03	19%	15 Aug →
cache	13–0	0.06	10%	15 Aug →
inferno	10–13	-0.02	18%	15 Aug →
cache	9–13	0.01	21%	15 Aug →
cache	13–3	-0.06	21%	15 Aug →
cache	7–13	-0.10	15%	15 Aug →
cache	13–8	0.00	18%	15 Aug →
nuke	3–13	-0.06	25%	15 Aug →
overpass	8–0	0.20	27%	15 Aug →
inferno	9–3	-0.02	31%	15 Aug →
inferno	6–13	-0.03	19%	14 Aug →
cache	13–5	-0.04	18%	14 Aug →
cache	11–13	0.00	14%	14 Aug →
cache	10–13	-0.00	12%	26 Jul →
cache	11–13	-0.00	23%	19 Jul →
ancient	9–13	0.00	23%	19 Jul →
dust2	13–5	-0.04	27%	25 May →
cache	5–13	0.01	27%	25 May →
overpass	10–13	-0.03	16%	24 May →
dust2	7–13	0.05	34%	24 May →
anubis	13–4	-0.02	23%	11 Apr →
overpass	2–13	-0.10	19%	11 Apr →
dust2	3–13	-0.08	16%	11 Apr →
vertigo	13–6	0.00	18%	10 Apr →
ancient	4–13	-0.07	8%	6 Sept →
dust2	12–12	0.04	28%	6 Sept →
mirage	15–15	0.02	12%	6 Sept →
nuke	12–12	-0.02	11%	6 Sept →
overpass	11–13	-0.02	14%	22 Feb →
vertigo	13–9	-0.01	12%	22 Feb →
train	13–1	0.15	17%	19 Jan →
dust2	13–7	-0.03	12%	18 Jan →
nuke	10–13	-0.08	12%	18 Jan →
vertigo	12–12	-0.01	10%	18 Jan →
dust2	7–13	-0.01	14%	17 Jan →
dust2	10–13	0.01	7%	17 Jan →
mirage	11–13	-0.02	13%	1 Jan →
train	4–0	0.08	20%	1 Jan →
mirage	3–13	-0.03	16%	15 Dec →
ancient	6–13	0.02	11%	15 Dec →
train	12–12	-0.06	14%	23 Nov →
ancient	13–10	0.01	17%	29 Oct →
inferno	13–9	0.01	17%	29 Oct →
mirage	11–13	0.03	18%	19 Oct →
overpass	13–10	0.06	12%	9 Oct →
ancient	11–13	-0.06	15%	7 Oct →
nuke	2–13	-0.11	4%	7 Oct →
dust2	13–6	-0.02	16%	7 Oct →
ancient	8–13	-0.05	13%	5 Oct →
inferno	4–13	-0.02	26%	5 Oct →
anubis	4–13	-0.03	13%	5 Oct →
nuke	13–11	-0.04	16%	4 Oct →
inferno	12–12	0.01	8%	4 Oct →
vertigo	13–5	0.00	14%	29 Sept →
overpass	13–9	-0.04	15%	29 Sept →
vertigo	11–13	0.03	23%	28 Sept →
overpass	13–8	-0.00	14%	28 Sept →
dust2	11–13	-0.12	11%	21 Sept →
vertigo	13–10	-0.03	10%	21 Sept →
overpass	8–13	-0.05	16%	21 Sept →
ancient	9–13	0.00	12%	20 Sept →
vertigo	13–11	-0.04	14%	19 Sept →
mirage	13–11	-0.04	14%	19 Sept →
vertigo	10–13	-0.08	33%	18 Sept →
vertigo	13–10	0.01	23%	15 Sept →
vertigo	7–13	-0.01	20%	1 Jul →
vertigo	13–11	0.03	23%	17 Jun →
overpass	7–1	0.01	12%	17 Jun →
ancient	6–13	-0.08	25%	17 Jun →
mirage	13–7	-0.04	23%	7 Jun →
vertigo	6–13	-0.03	17%	7 Jun →
nuke	13–7	0.01	30%	7 Jun →
dust2	13–4	0.00	15%	6 Jun →
nuke	12–12	-0.05	22%	5 Jun →
ancient	8–13	-0.11	7%	5 Jun →
inferno	11–13	-0.01	24%	5 Jun →
mirage	1–13	-0.04	19%	5 Jun →
dust2	12–12	-0.01	22%	5 Jun →
vertigo	13–5	-0.05	15%	3 May →
dust2	6–13	-0.06	8%	25 Apr →
mirage	13–8	-0.04	16%	14 Apr →
overpass	3–5	0.02	12%	4 Apr →
vertigo	13–10	-0.08	28%	22 Mar →
cache	2–9	-0.12	50%	11 Jun →
dust2	9–7	0.03	12%	13 May →
mirage	9–7	0.01	19%	9 May →
overpass	11–16	-0.06	14%	30 Apr →
inferno	9–7	-0.01	6%	9 Apr →
mirage	9–5	-0.03	3%	9 Apr →
inferno	13–16	0.02	14%	2 Apr →
cache	9–6	0.00	15%	29 Mar →
dust2	16–11	-0.07	3%	28 Mar →
inferno	16–7	-0.04	9%	27 Mar →
overpass	7–16	-0.03	7%	27 Mar →
cache	14–16	-0.09	12%	26 Mar →