wild — CS2 Stats

76561198018463682[U:1:58197954]

379Tracked matches57%Win rate2023Tracked since

1,170Hours in CS

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating26,130Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1303 of 12526 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning58

Utility41

0–100 skill scores via Leetify.

Recent form

HOT62–35–3Last 10062%Win rateWLLWLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim9.1

Aggression7.8

Utility4.1

Positioning5.8

Opening Duels4.1

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited 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.

Your pro match

Plays most like ropz 94% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 91 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning5.8

Utility4.1

Mechanics9.7

Opening Duels4.1

Win Impact7.2

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time454ms−41ms

first ⅓ avg 495ms → last ⅓ avg 454ms

Headshot accuracy13.8%−2.6%

first ⅓ avg 16.4% → last ⅓ avg 13.8%

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

0.23Best rating — overpass 13–0

13–0Biggest win — overpass

12Longest win streak

11–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

trainBest map · 100% over 6anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	17	9–8	53%	0.01
nuke	S	16	12–4	75%	0.01
mirage	B	16	8–8	50%	-0.00
dust2	A	15	9–6	60%	-0.01
ancient	S	8	6–2	75%	-0.03
train	S	6	6–0	100%	0.02
anubis	D	5	1–4	20%	-0.02
vertigo	A	5	3–2	60%	0.01
office	A	5	3–2	60%	-0.02
cache	—	4	2–2	50%	-0.03
overpass	—	2	2–0	100%	0.08
jura	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,511Lifetime kills

0.89K/D

4,441Matches

46.7%Match win rate · Top 50% of tracked players

35.2%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

5,579MVPs

1,170Hours (in match)

2,918Bombs planted

637Bombs defused

Most-used weapons

AK-4713,897

M4A4 / M4A1-S7,746

AWP5,794

P2000 / USP-S2,571

Glock-182,025

P901,458

Five-SeveN1,307

P2501,301

SSG 081,260

Desert Eagle1,223

Lifetime map wins

7,986inferno

2,644nuke

2,417dust2

762vertigo

249cbble

228office

205train

69aztec

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.

13.5%Headshot accuracy

36.1%Accuracy (enemy spotted)

34.6%Spray accuracy

93.5%Counter-strafing

5.6°Preaim

442msReaction time

35.7%T opening success

56.8%CT opening success

0.60Enemies flashed / flash

0.8%Flash assists

10.51HE damage / grenade

4.76Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.537% — below the 15% 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 35.7284% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–2	0.09	12%	27 Aug →
anubis	0–13	-0.13	17%	27 Aug →
dust2	2–13	-0.08	22%	27 Aug →
dust2	13–6	-0.02	10%	27 Aug →
anubis	10–13	-0.02	17%	26 Aug →
ancient	13–8	-0.03	10%	26 Aug →
inferno	13–8	0.01	6%	26 Aug →
cache	13–9	-0.04	17%	26 Aug →
cache	13–7	0.04	14%	26 Aug →
dust2	13–7	-0.03	3%	25 Aug →
inferno	13–10	-0.03	9%	25 Aug →
nuke	13–8	-0.02	6%	24 Aug →
mirage	13–9	-0.01	12%	24 Aug →
nuke	13–11	-0.03	15%	24 Aug →
dust2	9–13	0.01	26%	23 Aug →
nuke	13–4	0.01	14%	23 Aug →
nuke	11–13	-0.03	11%	23 Aug →
dust2	13–4	-0.07	23%	23 Aug →
ancient	7–13	-0.01	16%	22 Aug →
vertigo	9–7	-0.01	6%	22 Aug →
inferno	8–13	-0.04	15%	22 Aug →
nuke	16–13	0.02	6%	21 Aug →
inferno	6–13	-0.07	6%	20 Aug →
inferno	6–9	0.02	22%	20 Aug →
nuke	1–13	-0.08	4%	20 Aug →
mirage	4–8	-0.09	40%	20 Aug →
dust2	13–9	-0.04	11%	20 Aug →
mirage	13–8	0.10	14%	20 Aug →
inferno	16–13	0.01	19%	20 Aug →
nuke	1–13	-0.07	5%	19 Aug →
inferno	13–11	0.06	16%	19 Aug →
mirage	9–13	-0.05	24%	19 Aug →
ancient	7–13	-0.08	10%	19 Aug →
ancient	13–8	-0.05	20%	19 Aug →
mirage	4–13	-0.04	7%	18 Aug →
inferno	8–8	-0.00	28%	18 Aug →
cache	4–13	-0.03	11%	18 Aug →
ancient	13–2	-0.00	13%	18 Aug →
mirage	13–10	-0.05	18%	17 Aug →
inferno	13–11	0.06	10%	17 Aug →
nuke	1–13	-0.08	17%	17 Aug →
dust2	8–13	-0.04	12%	17 Aug →
mirage	13–5	-0.04	17%	17 Aug →
mirage	7–13	-0.00	28%	17 Aug →
nuke	13–10	0.05	10%	17 Aug →
mirage	13–11	0.04	13%	17 Aug →
train	13–10	-0.02	6%	16 Aug →
train	13–9	0.06	16%	16 Aug →
mirage	3–13	0.02	15%	16 Aug →
cache	1–7	-0.07	0%	11 Aug →
nuke	13–11	0.07	34%	4 Aug →
nuke	16–12	0.10	12%	4 Aug →
ancient	8–2	0.01	31%	4 Aug →
vertigo	7–13	-0.05	17%	2 Aug →
vertigo	12–12	0.09	21%	2 Aug →
mirage	13–4	0.10	12%	23 Apr →
overpass	13–0	0.23	27%	23 Apr →
nuke	13–5	0.09	27%	7 Apr →
mirage	13–10	0.09	11%	7 Apr →
ancient	13–9	-0.00	15%	7 Apr →
office	9–13	-0.02	22%	23 Mar →
vertigo	13–4	-0.02	12%	12 Feb →
dust2	3–13	0.02	23%	4 Feb →
inferno	7–13	-0.02	26%	4 Feb →
anubis	8–13	-0.09	12%	4 Feb →
anubis	5–13	0.00	31%	4 Feb →
office	9–13	-0.02	15%	25 Jan →
office	13–9	-0.00	13%	25 Jan →
inferno	8–8	0.04	9%	25 Jan →
overpass	13–11	-0.07	7%	23 Jan →
inferno	4–13	-0.04	44%	23 Jan →
inferno	2–9	-0.11	17%	22 Jan →
mirage	3–13	-0.05	10%	4 Dec →
mirage	3–13	-0.02	23%	4 Dec →
nuke	13–9	-0.02	18%	29 Nov →
train	16–14	0.01	10%	29 Nov →
dust2	7–13	-0.07	19%	29 Nov →
dust2	11–13	0.01	17%	28 Nov →
ancient	13–8	-0.05	13%	28 Nov →
dust2	13–11	-0.01	16%	28 Nov →
nuke	9–5	0.09	9%	28 Nov →
office	13–7	0.00	15%	28 Nov →
office	13–2	-0.04	19%	8 Nov →
train	6–1	-0.02	29%	8 Nov →
train	13–1	-0.01	13%	8 Nov →
inferno	13–11	0.03	16%	7 Sept →
dust2	13–7	0.20	16%	2 Sept →
mirage	9–13	-0.08	0%	2 Jul →
dust2	13–6	-0.03	10%	10 Jun →
jura	13–4	0.10	18%	10 Jun →
nuke	13–5	0.02	26%	10 Jun →
inferno	13–11	0.05	16%	10 Jun →
nuke	13–1	0.05	12%	6 Jun →
inferno	8–1	0.04	31%	6 Jun →
train	13–2	0.12	10%	6 Jun →
dust2	13–9	-0.01	22%	6 Jun →
anubis	13–6	0.12	16%	6 Jun →
mirage	13–6	0.04	10%	5 Jun →
vertigo	13–8	0.02	17%	5 Jun →
dust2	13–5	-0.01	21%	5 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

05Player 13440511 recent matches together

Milestones

100 Matches12-Win StreakAim 90+

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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