xxit — CS2 Stats

76561198111006859[U:1:150741131]

2,569Tracked matches37%Win rate2020Tracked since

2,678Hours in CS

CSDB Rating4.5 Developing

Premier CS Rating18,881Purple band · top ~13% of ranked players (population est.)

CSDB Leaderboard#9638 of 19408 tracked

WingmanGold Nova III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	38.1%	48.1%	9.9% short
Shot accuracy	11.9%	12.9%	1.0% short
Kill/death ratio	1.34	1.08	above
Match win rate	68.4%	46.5%	above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim50

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY36–55–9Last 10036%Win rateLLWTLLWWTW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.0

Aggression8.4

Utility4.9

Positioning5.9

Opening Duels3.7

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 b1t 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 611ms 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

Aim5.0

Positioning5.9

Utility4.9

Mechanics4.6

Opening Duels3.7

Win Impact0.7

Composite 4.5/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time623ms+72ms

first ⅓ avg 551ms → last ⅓ avg 623ms

Headshot accuracy17.8%+1.3%

first ⅓ avg 16.5% → last ⅓ avg 17.8%

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

0.16Best rating — anubis 13–3

13–1Biggest win — dust2

4Longest win streak

L2Current streak

1–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 26% over 19

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	24	7–17	29%	0.03
inferno	D	19	5–14	26%	0.02
mirage	D	13	4–9	31%	0.02
nuke	D	11	3–8	27%	0.01
anubis	S	9	6–3	67%	0.05
cache	B	8	4–4	50%	0.04
vertigo	D	6	2–4	33%	0.04
office	A	5	3–2	60%	0.08
train	—	2	0–2	0%	-0.05
overpass	—	1	1–0	100%	0.07
ancient	—	1	1–0	100%	0.03
italy	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,750Lifetime kills

1.34K/D · Top 10% of tracked players

11,282Matches

68.4%Match win rate · Top 5% of tracked players

38.1%Headshot %

11.9%Shot accuracy

16,777MVPs

2,678Hours (in match)

9,476Bombs planted

1,791Bombs defused

Most-used weapons

AK-4731,748

AWP20,640

M4A4 / M4A1-S18,414

P2000 / USP-S6,864

XM10146,287

P906,048

Glock-185,105

Desert Eagle3,995

MAC-103,661

Galil AR3,336

Lifetime map wins

28,942dust2

5,560inferno

5,037nuke

3,909office

2,852vertigo

1,243italy

1,092train

198assault

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.

17.4%Headshot accuracy

32.6%Accuracy (enemy spotted)

32.1%Spray accuracy

70.5%Counter-strafing

10.6°Preaim

611msReaction time

39.3%T opening success

50.0%CT opening success

0.58Enemies flashed / flash

9.5%Flash assists

12.73HE damage / grenade

4.56Flashes / 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
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 39.3266% — below the 40% mark we flag

Spend your practice time on Inferno

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	0.06	16%	28 Aug →
vertigo	0–13	-0.06	40%	28 Aug →
overpass	13–4	0.07	42%	28 Aug →
dust2	12–12	0.06	12%	27 Aug →
dust2	8–13	-0.05	12%	26 Aug →
mirage	11–13	0.12	25%	26 Aug →
dust2	13–8	0.03	15%	25 Aug →
cache	13–11	-0.02	16%	25 Aug →
cache	12–12	0.03	12%	21 Aug →
nuke	13–10	-0.02	10%	21 Aug →
inferno	13–10	0.02	15%	21 Aug →
nuke	6–13	-0.05	0%	19 Aug →
office	13–8	0.12	17%	19 Aug →
inferno	11–13	0.02	23%	18 Aug →
inferno	13–7	0.10	6%	17 Aug →
dust2	9–13	-0.03	18%	16 Aug →
vertigo	13–7	0.13	31%	16 Aug →
vertigo	4–13	0.03	21%	15 Aug →
nuke	13–2	0.06	10%	15 Aug →
anubis	13–7	0.06	18%	14 Aug →
inferno	10–13	0.06	22%	14 Aug →
dust2	5–13	-0.05	17%	14 Aug →
nuke	8–13	-0.02	25%	14 Aug →
train	1–13	-0.05	19%	14 Aug →
dust2	5–13	0.11	11%	12 Aug →
mirage	3–13	-0.06	22%	12 Aug →
nuke	5–13	0.07	22%	12 Aug →
inferno	2–13	-0.04	8%	12 Aug →
dust2	12–12	0.03	13%	11 Aug →
mirage	2–13	-0.03	12%	11 Aug →
inferno	9–13	-0.05	29%	11 Aug →
dust2	13–8	0.03	17%	10 Aug →
dust2	7–0	-0.01	14%	10 Aug →
cache	13–5	0.10	22%	10 Aug →
inferno	13–6	0.01	28%	10 Aug →
cache	12–16	0.02	21%	10 Aug →
inferno	6–13	-0.09	18%	10 Aug →
vertigo	11–13	0.11	21%	10 Aug →
ancient	13–10	0.03	12%	9 Aug →
anubis	13–3	0.16	21%	9 Aug →
mirage	9–13	0.05	16%	9 Aug →
anubis	13–4	0.01	7%	8 Aug →
dust2	11–13	-0.02	16%	8 Aug →
office	13–3	0.08	16%	8 Aug →
mirage	13–8	0.01	7%	8 Aug →
vertigo	13–5	-0.01	19%	8 Aug →
train	6–13	-0.04	15%	8 Aug →
anubis	1–13	-0.00	0%	8 Aug →
dust2	8–13	0.03	24%	8 Aug →
mirage	4–13	-0.03	18%	7 Aug →
nuke	8–13	0.05	14%	7 Aug →
dust2	7–13	0.10	18%	7 Aug →
cache	8–13	0.03	17%	7 Aug →
inferno	6–13	0.07	12%	7 Aug →
anubis	10–13	0.04	13%	6 Aug →
mirage	13–7	0.05	22%	6 Aug →
dust2	5–13	-0.05	6%	6 Aug →
cache	13–9	0.00	15%	5 Aug →
dust2	11–13	0.05	19%	5 Aug →
nuke	7–13	0.06	15%	4 Aug →
inferno	12–12	0.06	14%	4 Aug →
vertigo	12–12	0.07	17%	3 Aug →
inferno	4–13	-0.12	16%	3 Aug →
mirage	7–13	-0.03	7%	3 Aug →
dust2	8–13	0.10	20%	2 Aug →
inferno	13–10	0.12	24%	2 Aug →
anubis	6–13	-0.07	18%	2 Aug →
dust2	15–15	0.00	10%	2 Aug →
dust2	3–13	0.01	19%	2 Aug →
office	6–13	0.06	15%	2 Aug →
mirage	13–4	0.09	22%	2 Aug →
cache	7–13	0.10	21%	1 Aug →
nuke	13–6	-0.03	19%	1 Aug →
inferno	12–12	0.06	25%	1 Aug →
dust2	9–13	0.06	14%	1 Aug →
nuke	3–13	0.03	21%	1 Aug →
anubis	13–7	0.12	12%	1 Aug →
mirage	4–13	-0.00	18%	1 Aug →
inferno	13–10	0.12	22%	31 Jul →
inferno	12–12	0.02	15%	31 Jul →
mirage	5–13	0.04	23%	31 Jul →
office	13–10	0.03	22%	31 Jul →
dust2	5–13	-0.05	6%	30 Jul →
anubis	13–8	-0.01	10%	30 Jul →
dust2	13–8	0.08	16%	29 Jul →
inferno	8–13	-0.01	14%	24 Jul →
dust2	10–13	0.01	18%	24 Jul →
cache	13–3	0.06	9%	24 Jul →
office	11–13	0.13	21%	24 Jul →
anubis	13–9	0.12	16%	24 Jul →
dust2	13–10	0.05	18%	23 Jul →
inferno	10–13	0.01	17%	23 Jul →
nuke	10–13	-0.02	19%	23 Jul →
italy	12–12	0.01	13%	23 Jul →
inferno	13–16	-0.04	14%	22 Jul →
mirage	13–8	0.06	16%	22 Jul →
nuke	5–13	0.02	8%	21 Jul →
dust2	13–1	0.10	8%	21 Jul →
mirage	8–13	-0.00	21%	21 Jul →
dust2	13–6	0.07	25%	21 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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