SUPERMAN — CS2 Stats

76561198079121477[U:1:118855749]

858Tracked matches57%Win rate2020Tracked since

2,663Hours in CS2Hrs last 2 wks

CSDB Rating5.5 Solid

Premier CS Rating18,162Purple band · top ~15.8% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	35.7%	44.1%	47.2%	11.6% short
Shot accuracy	13.2%	11.4%	12.7%	above
Kill/death ratio	1.16	1.03	1.09	above
Match win rate	46.6%	45.2%	46.6%	meets

This profile matches the typical Pink band player on 3 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.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim57

Positioning52

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLLWWWLLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.7

Aggression6.9

Utility5.9

Positioning5.2

Opening Duels2.9

Clutch3.6

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 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 636ms 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

Aim5.7

Positioning5.2

Utility5.9

Mechanics6.0

Opening Duels2.9

Win Impact7.2

Composite 5.5/10 (Solid), 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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time632ms+42ms

first ⅓ avg 589ms → last ⅓ avg 632ms

Headshot accuracy14.9%−0.2%

first ⅓ avg 15.1% → last ⅓ avg 14.9%

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 — dust2 13–5

13–1Biggest win — mirage

6Longest win streak

L4Current streak

16–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 65% over 26anubisWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	26	17–9	65%	0.02
cache	B	16	8–8	50%	0.01
inferno	C	16	7–9	44%	0.01
mirage	C	12	5–7	42%	0.01
ancient	C	10	4–6	40%	0.03
nuke	B	10	5–5	50%	0.04
anubis	C	8	3–5	38%	0.02
vertigo	—	1	1–0	100%	0.05
office	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,283Lifetime kills

1.16K/D · Top 25% of Purple band

2,846Matches

46.6%Match win rate · Top 50% of Purple band

35.7%Headshot %

13.2%Shot accuracy · Top 50% of Purple band

7,091MVPs

1,255Hours (in match)

2,907Bombs planted

912Bombs defused

Most-used weapons

AWP12,956

AK-4712,903

M4A4 / M4A1-S8,214

P2000 / USP-S3,388

Desert Eagle3,210

Glock-181,996

P901,563

SSG 081,079

Negev1,044

MAC-10835

Lifetime map wins

7,790dust2

4,227inferno

2,096nuke

1,044train

458cbble

205vertigo

160office

111lake

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

Faceit stats

Combat

152Matches

47%Win rate

1.18Avg K/D

85.8ADR

37%Headshot %

Clutches & streaks

38%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	34	41%	1.13	15.5
Inferno	22	55%	1.35	15.3
Dust2	22	50%	1.36	16.3
Nuke	18	39%	1.10	15.5
Ancient	18	56%	1.16	17.8
Anubis	16	44%	1.17	17.8
Overpass	5	40%	1.05	16.0
Cache	4	50%	1.06	18.0

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.

14.7%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.3%Spray accuracy

76.9%Counter-strafing

10.1°Preaim

636msReaction time

42.1%T opening success

41.3%CT opening success

0.63Enemies flashed / flash

3.9%Flash assists

8.11HE damage / grenade

16.46Flashes / 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 14.7367% — below the 15% mark we flag
Aim Training →

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.

38% win rate across 8 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
ancient	3–13	-0.06	12%	24 Aug →
mirage	6–13	0.04	24%	22 Aug →
cache	4–13	-0.07	7%	15 Aug →
nuke	5–13	0.12	27%	14 Aug →
dust2	13–7	0.00	21%	12 Aug →
dust2	13–10	-0.01	16%	12 Aug →
cache	13–6	-0.04	24%	12 Aug →
mirage	3–13	-0.06	13%	12 Aug →
inferno	11–13	-0.06	9%	12 Aug →
dust2	16–14	0.01	17%	11 Aug →
inferno	16–13	-0.00	14%	10 Aug →
ancient	13–6	-0.02	15%	10 Aug →
dust2	8–2	0.08	19%	10 Aug →
dust2	16–14	0.03	19%	9 Aug →
mirage	13–11	0.02	11%	9 Aug →
nuke	3–13	-0.01	17%	9 Aug →
dust2	14–16	-0.03	13%	8 Aug →
anubis	7–13	0.06	12%	6 Aug →
nuke	13–11	0.03	22%	4 Aug →
inferno	13–11	0.01	7%	3 Aug →
inferno	10–13	0.06	10%	3 Aug →
dust2	13–5	-0.05	17%	3 Aug →
dust2	13–10	0.05	23%	3 Aug →
inferno	11–13	-0.03	13%	1 Aug →
mirage	11–13	-0.05	15%	1 Aug →
cache	13–5	-0.02	8%	1 Aug →
nuke	2–13	-0.04	21%	31 Jul →
inferno	13–7	0.06	10%	31 Jul →
ancient	13–7	0.02	10%	31 Jul →
dust2	16–14	0.03	9%	31 Jul →
cache	13–11	0.11	18%	31 Jul →
anubis	4–13	0.01	15%	31 Jul →
mirage	6–13	-0.11	9%	29 Jul →
inferno	8–13	0.04	9%	26 Jul →
inferno	13–2	-0.02	8%	26 Jul →
inferno	13–10	0.01	9%	26 Jul →
mirage	13–9	0.01	10%	26 Jul →
mirage	13–11	0.03	16%	26 Jul →
dust2	13–7	-0.00	9%	26 Jul →
cache	6–13	0.04	13%	26 Jul →
inferno	15–15	0.02	11%	25 Jul →
cache	13–11	0.01	23%	25 Jul →
cache	10–13	-0.09	12%	25 Jul →
ancient	4–13	0.07	8%	25 Jul →
cache	13–6	0.06	15%	24 Jul →
anubis	14–16	0.05	12%	23 Jul →
nuke	5–13	0.04	14%	23 Jul →
dust2	4–13	-0.00	7%	22 Jul →
dust2	7–13	-0.06	17%	22 Jul →
cache	8–13	0.03	17%	21 Jul →
ancient	13–16	0.09	13%	19 Jul →
ancient	9–13	0.14	4%	18 Jul →
anubis	9–0	0.00	19%	18 Jul →
nuke	13–8	0.06	9%	18 Jul →
nuke	16–13	0.01	16%	17 Jul →
dust2	13–7	0.01	6%	17 Jul →
dust2	2–12	0.02	10%	16 Jul →
ancient	13–10	0.04	13%	15 Jul →
cache	11–13	0.01	23%	15 Jul →
inferno	7–13	-0.00	15%	15 Jul →
nuke	15–15	0.05	14%	15 Jul →
cache	13–4	0.05	8%	15 Jul →
nuke	13–2	-0.00	9%	14 Jul →
dust2	16–14	0.06	19%	14 Jul →
dust2	14–16	-0.03	10%	14 Jul →
anubis	13–5	0.08	27%	14 Jul →
cache	3–13	-0.02	9%	14 Jul →
dust2	9–13	0.04	24%	14 Jul →
mirage	5–13	-0.06	26%	13 Jul →
inferno	5–13	-0.06	6%	13 Jul →
anubis	13–8	0.01	14%	13 Jul →
dust2	13–10	0.03	11%	13 Jul →
mirage	10–13	0.09	19%	13 Jul →
inferno	13–11	0.07	20%	13 Jul →
dust2	13–11	0.03	18%	13 Jul →
inferno	11–13	0.00	15%	13 Jul →
dust2	13–11	0.01	21%	13 Jul →
anubis	6–13	-0.03	7%	12 Jul →
cache	13–9	0.05	13%	12 Jul →
dust2	13–10	0.03	8%	12 Jul →
ancient	13–11	0.03	12%	12 Jul →
mirage	13–8	0.08	11%	12 Jul →
dust2	13–5	0.18	26%	11 Jul →
mirage	3–13	0.01	12%	10 Jul →
ancient	4–13	-0.02	5%	10 Jul →
dust2	7–13	-0.04	25%	10 Jul →
mirage	13–1	0.06	15%	10 Jul →
cache	10–13	-0.01	9%	10 Jul →
nuke	13–9	0.12	17%	10 Jul →
dust2	4–13	0.07	26%	10 Jul →
dust2	16–12	0.10	8%	10 Jul →
inferno	13–11	0.04	13%	10 Jul →
ancient	2–13	0.01	25%	10 Jul →
cache	16–14	0.07	13%	9 Jul →
anubis	4–13	-0.02	14%	9 Jul →
inferno	12–12	0.02	9%	8 Jul →
vertigo	13–9	0.05	13%	8 Jul →
dust2	9–13	0.01	23%	8 Jul →
office	12–12	-0.05	9%	8 Jul →
cache	9–13	0.02	11%	8 Jul →