Xerox — CS2 Stats

SO76561197979422693[U:1:19156965]Steam profile ↗✓ No bans

1,379Tracked matches59%Win rate2020Tracked since

2,092Hours in CS

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating25,555Top 25% of 44,590 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

CSDB Leaderboard#5464 of 58717 tracked

FaceitLevel 8 · 1,562 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), 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	Level 8 median	Level 9 median	vs Level 9
Headshot rate	51.2%	47.0%	48.4%	above
Shot accuracy	14.5%	12.8%	13.2%	above
Kill/death ratio	1.17	1.07	1.08	above
Match win rate	48.1%	46.4%	47.0%	above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim81

Positioning50

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWLLLWLWW

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

Player DNA

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

Aim8.1

Aggression7.5

Utility7.1

Positioning5.0

Opening Duels2.5

Clutch1.2

Strong CT-side opener

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 Twistzz 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim8.1

Positioning5.0

Utility7.1

Mechanics8.2

Opening Duels2.7

Win Impact7.9

Composite 7.1/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time604ms−17ms

first ⅓ avg 621ms → last ⅓ avg 604ms

Headshot accuracy24.6%+3.5%

first ⅓ avg 21.1% → last ⅓ avg 24.6%

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

0.16Best rating — inferno 13–9

13–2Biggest win — inferno

6Longest win streak

5–6In matches decided by ≤2 rounds

17Overtime games

Map breakdown

infernoBest map · 65% over 31nukeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	31	20–11	65%	0.01
dust2	C	24	10–14	42%	0.01
ancient	B	23	11–12	48%	0.00
anubis	A	10	6–4	60%	0.04
nuke	D	6	2–4	33%	0.04
cache	—	4	3–1	75%	-0.01
overpass	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,895Lifetime kills

1.17K/D · Top 50% of Level 8 players

4,437Matches

48.1%Match win rate · Top 50% of Level 8 players

51.2%Headshot % · Top 50% of Level 8 players

14.5%Shot accuracy · Top 50% of Level 8 players

11,080MVPs

2,092Hours (in match)

4,128Bombs planted

1,128Bombs defused

Most-used weapons

AK-4733,093

M4A4 / M4A1-S20,541

AWP6,258

P2000 / USP-S5,043

Desert Eagle3,939

Five-SeveN3,486

Glock-183,318

SSG 083,023

MP72,739

FAMAS2,427

Lifetime map wins

16,223dust2

11,290inferno

2,621nuke

1,080train

1,018cbble

435vertigo

132office

110italy

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

Faceit stats

Combat

539Matches

52%Win rate

1.06Avg K/D

82.3ADR

46%Headshot %

Clutches & streaks

26%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	14	64%	1.13	16.9
Inferno	13	62%	1.00	14.3
Anubis	7	86%	1.14	22.7
Nuke	7	71%	1.22	17.9
Mirage	5	40%	0.96	17.8
Overpass	3	0%	0.61	11.0
Ancient	2	50%	1.37	19.0

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.

25.0%Headshot accuracy

34.0%Accuracy (enemy spotted)

33.5%Spray accuracy

87.0%Counter-strafing

8.5°Preaim

598msReaction time

28.1%T opening success

51.6%CT opening success

0.61Enemies flashed / flash

4.7%Flash assists

10.48HE damage / grenade

17.06Flashes / 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 28.1169% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.01	22%	10 Aug →
cache	16–13	-0.02	19%	10 Aug →
dust2	13–8	0.11	24%	10 Aug →
ancient	13–16	0.04	31%	10 Aug →
inferno	4–13	0.07	31%	9 Aug →
dust2	7–13	-0.04	17%	9 Aug →
cache	13–6	-0.01	26%	7 Aug →
dust2	10–13	-0.03	32%	7 Aug →
ancient	16–13	0.06	23%	7 Aug →
anubis	13–9	0.10	28%	7 Aug →
dust2	5–13	-0.04	34%	7 Aug →
inferno	15–15	0.07	31%	6 Aug →
cache	16–13	0.01	16%	6 Aug →
dust2	6–13	-0.05	21%	6 Aug →
dust2	13–7	0.06	28%	4 Aug →
inferno	13–8	0.02	19%	4 Aug →
inferno	13–10	0.08	25%	4 Aug →
anubis	7–13	0.06	36%	9 Jun →
ancient	4–13	-0.05	20%	31 May →
dust2	16–12	-0.00	19%	24 May →
anubis	16–12	0.03	30%	30 Apr →
dust2	13–7	0.11	23%	30 Apr →
ancient	13–9	0.01	15%	30 Apr →
anubis	13–4	0.04	20%	27 Apr →
dust2	10–13	0.00	32%	27 Apr →
inferno	9–13	-0.04	31%	26 Apr →
inferno	13–6	0.01	28%	25 Apr →
inferno	6–13	-0.02	25%	13 Apr →
inferno	16–13	-0.04	16%	13 Apr →
inferno	16–14	-0.06	29%	9 Apr →
ancient	13–7	0.04	27%	9 Apr →
inferno	13–2	0.03	20%	8 Apr →
ancient	4–13	-0.06	13%	7 Apr →
ancient	16–12	0.03	30%	7 Apr →
inferno	13–10	0.00	18%	6 Apr →
ancient	13–8	0.01	18%	30 Mar →
dust2	11–13	0.06	28%	30 Mar →
inferno	8–13	-0.02	4%	26 Mar →
nuke	10–13	0.03	16%	23 Mar →
dust2	13–9	0.00	26%	22 Mar →
inferno	16–14	0.06	15%	22 Mar →
dust2	6–13	-0.01	15%	18 Mar →
ancient	8–13	0.01	11%	18 Mar →
anubis	9–13	0.04	23%	18 Mar →
inferno	13–8	0.05	29%	17 Mar →
ancient	13–8	0.05	27%	17 Mar →
inferno	13–9	0.04	23%	15 Mar →
dust2	13–8	-0.05	29%	15 Mar →
ancient	6–13	-0.07	18%	8 Mar →
dust2	6–13	0.00	30%	5 Mar →
inferno	8–13	0.06	24%	5 Mar →
anubis	13–8	0.02	15%	3 Mar →
inferno	3–13	-0.01	24%	3 Mar →
ancient	15–15	-0.04	8%	2 Mar →
inferno	13–6	0.00	26%	2 Mar →
inferno	3–13	-0.03	24%	1 Mar →
overpass	10–13	-0.01	13%	28 Feb →
anubis	13–5	0.08	31%	26 Feb →
ancient	11–13	-0.03	18%	22 Feb →
nuke	10–13	0.04	22%	22 Feb →
dust2	6–13	0.04	14%	19 Feb →
inferno	13–9	-0.03	34%	19 Feb →
dust2	14–16	0.03	29%	16 Feb →
ancient	7–13	0.02	22%	16 Feb →
ancient	13–16	-0.01	25%	15 Feb →
anubis	13–11	-0.05	19%	15 Feb →
ancient	14–16	-0.03	22%	15 Feb →
inferno	9–6	-0.03	14%	15 Feb →
inferno	13–9	0.04	24%	15 Feb →
inferno	0–6	-0.06	50%	14 Feb →
nuke	11–13	0.01	15%	14 Feb →
nuke	13–5	0.10	11%	14 Feb →
inferno	11–13	0.01	16%	14 Feb →
ancient	13–8	0.07	11%	12 Feb →
anubis	13–16	0.06	15%	10 Feb →
inferno	13–10	0.04	21%	9 Feb →
inferno	13–11	0.01	11%	9 Feb →
ancient	7–13	-0.03	14%	8 Feb →
nuke	13–6	0.06	36%	8 Feb →
inferno	13–5	0.04	14%	8 Feb →
inferno	4–13	-0.03	10%	8 Feb →
dust2	6–13	-0.04	22%	8 Feb →
ancient	13–4	0.04	22%	7 Feb →
nuke	8–13	0.01	26%	7 Feb →
dust2	3–13	-0.02	26%	7 Feb →
dust2	13–3	0.08	20%	7 Feb →
inferno	13–8	0.01	9%	7 Feb →
dust2	13–11	0.03	32%	5 Feb →
ancient	13–9	0.08	19%	5 Feb →
ancient	13–10	-0.05	21%	2 Feb →
ancient	5–13	-0.00	20%	2 Feb →
dust2	5–13	-0.05	25%	2 Feb →
overpass	13–8	-0.02	21%	2 Feb →
inferno	13–9	0.16	29%	1 Feb →
ancient	13–6	0.01	18%	1 Feb →
inferno	13–9	0.02	24%	1 Feb →
dust2	16–13	0.01	35%	1 Feb →
dust2	13–7	0.16	16%	1 Feb →
dust2	2–13	-0.06	29%	1 Feb →
anubis	7–13	0.01	21%	1 Feb →