white — CS2 Stats

76561198355499375[U:1:395233647]

730Tracked matches57%Win rate2024Tracked since

1,633Hours in CS2Hrs last 2 wks

CSDB Rating4.9 DevelopingPassive Rifler

Premier CS Rating15,813Purple band · top ~25.2% of ranked players (population est.)

CSDB Leaderboard#8838 of 14118 tracked

FaceitLevel 4 · 1,009 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning44

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY49–37–14Last 10049%Win rateWTWTWLLWLL

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

Player DNA

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

Aim6.2

Aggression2.8

Utility3.1

Positioning4.4

Opening Duels0.0

Clutch4.2

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.

Your pro match

Plays most like NiKo 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 695ms 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

Aim6.2

Positioning4.4

Utility3.1

Mechanics6.2

Opening Duels0.1

Win Impact7.4

Composite 4.9/10 (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 rating0.01−0.05

first ⅓ avg 0.06 → last ⅓ avg 0.01

Reaction time688ms+26ms

first ⅓ avg 663ms → last ⅓ avg 688ms

Headshot accuracy19.6%+2.1%

first ⅓ avg 17.5% → last ⅓ avg 19.6%

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

0.18Best rating — inferno 13–7

13–0Biggest win — ancient

7Longest win streak

6–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

dust2Best map · 69% over 13cacheWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.04
dust2	S	13	9–4	69%	0.03
inferno	S	13	9–4	69%	0.03
nuke	D	12	4–8	33%	0.05
cache	D	12	2–10	17%	-0.00
ancient	C	11	4–7	36%	0.06
anubis	A	8	5–3	63%	0.00
office	—	4	1–3	25%	0.09
vertigo	—	3	1–2	33%	0.03
train	—	2	1–1	50%	0.09
stronghold	—	1	1–0	100%	0.08
warden	—	1	0–1	0%	0.10
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Lifetime stats

34,809Lifetime kills

1.61K/D · Top 5% of tracked players

1,407Matches

48.4%Match win rate · Top 50% of tracked players

32.8%Headshot %

0.3%Shot accuracy

4,006MVPs

492Hours (in match)

1,666Bombs planted

496Bombs defused

Most-used weapons

AK-479,971

M4A4 / M4A1-S5,755

AWP4,410

Desert Eagle1,709

P2000 / USP-S1,492

Glock-181,318

SSG 08780

MP9675

MP7631

P90513

Lifetime map wins

2,829dust2

2,235nuke

1,873inferno

772vertigo

655train

246office

153italy

100aztec

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

Faceit stats

Combat

62Matches

50%Win rate

1.10Avg K/D

87.6ADR

43%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	40%	1.21	19.4
Dust2	13	85%	1.13	13.7
Inferno	10	40%	0.94	12.9
Ancient	6	67%	1.14	16.3
Nuke	5	0%	0.94	17.6
Cache	5	80%	1.12	19.0
Anubis	4	25%	1.38	20.5
Train	2	50%	1.31	14.0

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.

20.1%Headshot accuracy

36.1%Accuracy (enemy spotted)

31.6%Spray accuracy

77.9%Counter-strafing

9.1°Preaim

695msReaction time

28.2%T opening success

30.9%CT opening success

0.53Enemies flashed / flash

3.0%Flash assists

6.00HE damage / grenade

3.50Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5042 — below the 4 mark we flag
Grenade Lineups →
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 28.1523% — below the 40% mark we flag

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.

17% 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
mirage	13–8	0.05	32%	20 Aug →
nuke	8–8	-0.01	13%	20 Aug →
dust2	2–4	-0.06	18%	20 Aug →
inferno	8–8	0.00	16%	20 Aug →
dust2	13–3	0.03	21%	4 Aug →
mirage	7–13	-0.00	12%	31 Jul →
mirage	7–13	-0.01	24%	31 Jul →
dust2	13–9	0.11	20%	31 Jul →
inferno	8–13	-0.08	27%	31 Jul →
inferno	10–13	-0.06	31%	30 Jul →
cache	12–16	-0.02	28%	30 Jul →
anubis	13–6	0.03	19%	29 Jul →
ancient	10–13	0.04	15%	29 Jul →
anubis	13–10	0.03	18%	29 Jul →
cache	7–13	-0.06	25%	29 Jul →
nuke	5–13	0.02	33%	29 Jul →
nuke	2–13	-0.06	26%	29 Jul →
cache	12–12	0.10	17%	29 Jul →
mirage	13–11	-0.04	16%	29 Jul →
inferno	13–9	0.01	21%	28 Jul →
nuke	12–12	0.14	27%	28 Jul →
ancient	5–13	0.03	11%	28 Jul →
cache	13–11	0.10	16%	28 Jul →
mirage	13–5	0.01	19%	27 Jul →
anubis	11–13	0.02	15%	27 Jul →
dust2	13–2	0.04	15%	27 Jul →
cache	5–13	-0.09	7%	27 Jul →
inferno	13–2	-0.02	18%	27 Jul →
nuke	13–8	0.02	12%	27 Jul →
dust2	13–5	-0.04	20%	27 Jul →
inferno	13–4	-0.05	21%	27 Jul →
inferno	13–7	0.02	16%	27 Jul →
nuke	13–10	-0.00	18%	27 Jul →
mirage	13–9	0.03	18%	27 Jul →
ancient	5–13	-0.01	18%	27 Jul →
dust2	13–7	-0.03	21%	27 Jul →
nuke	6–13	0.07	28%	27 Jul →
mirage	8–13	0.03	15%	27 Jul →
cache	14–16	-0.06	12%	26 Jul →
mirage	13–8	-0.01	20%	26 Jul →
cache	13–5	-0.02	46%	26 Jul →
nuke	13–5	-0.02	20%	26 Jul →
nuke	12–12	0.08	31%	26 Jul →
vertigo	12–12	0.03	19%	26 Jul →
anubis	13–9	-0.02	25%	26 Jul →
mirage	13–3	0.09	23%	26 Jul →
anubis	13–3	0.06	10%	26 Jul →
cache	9–13	0.05	18%	26 Jul →
cache	9–13	0.02	31%	26 Jul →
ancient	13–8	0.13	23%	25 Jul →
dust2	13–9	0.02	15%	25 Jul →
nuke	15–15	0.07	13%	25 Jul →
ancient	14–16	0.07	12%	24 Jul →
mirage	8–13	-0.00	25%	23 Jul →
vertigo	13–11	0.04	23%	23 Jul →
mirage	12–12	0.10	23%	23 Jul →
nuke	12–12	0.12	19%	18 Jul →
ancient	2–9	0.05	25%	8 Jul →
dust2	12–4	0.03	40%	6 Jul →
inferno	8–8	0.12	20%	6 Jul →
dust2	8–13	0.08	19%	3 Jul →
train	3–13	0.02	25%	3 Jul →
ancient	13–5	0.02	15%	3 Jul →
cache	8–13	-0.01	22%	1 Jul →
ancient	13–0	0.12	30%	1 Jul →
inferno	13–7	0.18	20%	1 Jul →
dust2	12–12	0.04	13%	30 Jun →
cache	5–13	0.03	19%	28 Jun →
mirage	10–13	0.08	23%	28 Jun →
inferno	13–7	0.06	18%	27 Jun →
train	13–5	0.16	13%	22 Jun →
stronghold	13–8	0.08	19%	22 Jun →
dust2	2–13	0.03	33%	19 Jun →
mirage	13–11	0.06	15%	4 Jun →
office	13–9	0.12	15%	4 Jun →
office	12–12	0.13	22%	4 Jun →
vertigo	12–12	0.03	11%	2 Jun →
warden	12–12	0.10	19%	2 Jun →
office	7–13	0.14	18%	2 Jun →
mirage	13–10	0.06	12%	2 Jun →
ancient	11–13	0.02	13%	1 Jun →
ancient	13–4	0.15	18%	1 Jun →
anubis	9–13	-0.04	20%	1 Jun →
overpass	16–13	0.06	17%	1 Jun →
dust2	13–6	0.08	11%	1 Jun →
nuke	13–8	0.16	15%	1 Jun →
dust2	13–16	0.02	14%	1 Jun →
office	3–13	-0.04	19%	30 May →
anubis	3–13	-0.05	16%	30 May →
ancient	9–13	-0.00	19%	30 May →
mirage	8–13	0.13	16%	30 May →
inferno	6–2	0.04	9%	30 May →
anubis	13–8	-0.03	26%	30 May →
mirage	13–3	0.10	19%	30 May →
mirage	13–11	0.08	16%	30 May →
mirage	11–13	0.01	15%	30 May →
inferno	9–4	0.09	22%	30 May →
inferno	13–9	0.04	22%	29 May →
cache	3–13	-0.07	21%	29 May →
mirage	13–8	0.04	13%	29 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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

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