steve cartman — CS2 Stats

HM76561198874977630[U:1:914711902]Steam profile ↗

2,480Tracked matches50%Win rate2020Tracked since

4,292Hours in CS18Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,670Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)

CSDB Leaderboard#14780 of 41575 tracked

FaceitLevel 8 · 1,912 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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	54.0%	47.0%	48.5%	above
Shot accuracy	7.0%	12.7%	13.3%	6.3% short
Kill/death ratio	0.97	1.07	1.07	0.11 short
Match win rate	47.8%	46.4%	47.0%	meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning64

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWWWWWWLLLL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.0

Aggression9.8

Utility6.8

Positioning6.4

Opening Duels4.2

Clutch2.6

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 device 94% 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. 560ms 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

Aim7.0

Positioning6.4

Utility6.8

Mechanics5.6

Opening Duels4.2

Win Impact5.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time566ms−97ms

first ⅓ avg 663ms → last ⅓ avg 566ms

Headshot accuracy19.9%−0.2%

first ⅓ avg 20.1% → last ⅓ avg 19.9%

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

0.17Best rating — inferno 13–5

13–0Biggest win — mirage

7Longest win streak

W6Current streak

6–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	18–15	55%	0.01
nuke	A	17	10–7	59%	0.01
inferno	C	15	6–9	40%	0.03
anubis	A	12	7–5	58%	0.01
cache	B	12	6–6	50%	0.02
dust2	A	7	4–3	57%	-0.00
ancient	—	3	1–2	33%	-0.00
boulder	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,162Lifetime kills

0.97K/D

4,614Matches

47.8%Match win rate · Top 50% of Level 8 players

54.0%Headshot % · Top 25% of Level 8 players

7.0%Shot accuracy

12,254MVPs

2,267Hours (in match)

3,158Bombs planted

1,216Bombs defused

Most-used weapons

AK-4731,953

M4A4 / M4A1-S15,526

Desert Eagle5,882

AWP4,931

P2000 / USP-S4,227

Glock-183,942

MP92,033

Galil AR1,860

MAC-101,630

FAMAS1,590

Lifetime map wins

5,472nuke

5,441inferno

3,679dust2

1,934vertigo

1,734train

371lake

300office

109cbble

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

Faceit stats

Combat

1,123Matches

50%Win rate

0.98Avg K/D

78.4ADR

55%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	306	51%	1.00	15.3
Inferno	107	53%	1.02	15.9
Ancient	106	48%	0.87	13.9
Nuke	101	58%	1.02	15.1
Dust2	85	49%	1.00	14.7
Anubis	77	39%	0.96	15.6
Vertigo	38	55%	1.02	14.8
Overpass	29	45%	0.92	13.8

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.

19.9%Headshot accuracy

34.0%Accuracy (enemy spotted)

38.9%Spray accuracy

75.4%Counter-strafing

10.3°Preaim

560msReaction time

41.2%T opening success

52.4%CT opening success

0.69Enemies flashed / flash

5.7%Flash assists

15.36HE damage / grenade

8.36Flashes / match

Recommended for you

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.

40% win rate across 15 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
dust2	13–11	-0.02	13%	29 Aug →
nuke	13–4	0.07	20%	29 Aug →
dust2	13–7	-0.06	12%	27 Aug →
nuke	13–6	-0.01	17%	27 Aug →
anubis	13–7	-0.02	12%	27 Aug →
nuke	13–7	0.10	23%	23 Aug →
mirage	8–13	-0.05	22%	22 Aug →
cache	10–13	-0.01	22%	22 Aug →
nuke	10–13	-0.02	26%	22 Aug →
nuke	5–13	0.01	23%	22 Aug →
anubis	3–13	-0.02	21%	18 Aug →
mirage	7–13	-0.01	17%	18 Aug →
nuke	13–6	0.02	27%	17 Aug →
cache	13–10	0.07	26%	16 Aug →
mirage	19–16	0.05	13%	16 Aug →
inferno	6–13	0.01	26%	15 Aug →
cache	10–13	-0.03	18%	15 Aug →
dust2	4–13	-0.01	23%	15 Aug →
nuke	4–13	-0.06	22%	14 Aug →
mirage	8–13	0.04	10%	14 Aug →
mirage	6–13	0.00	22%	14 Aug →
mirage	13–10	0.01	33%	14 Aug →
nuke	7–13	-0.03	15%	13 Aug →
cache	13–10	0.00	22%	13 Aug →
mirage	13–11	0.05	16%	13 Aug →
mirage	13–10	0.03	24%	13 Aug →
anubis	9–13	0.06	18%	13 Aug →
cache	9–13	-0.04	23%	12 Aug →
mirage	13–6	-0.01	27%	12 Aug →
anubis	16–14	0.02	13%	12 Aug →
inferno	16–13	0.05	21%	12 Aug →
mirage	13–10	0.08	12%	12 Aug →
cache	13–7	0.14	15%	12 Aug →
anubis	13–9	0.02	7%	12 Aug →
inferno	13–8	-0.03	20%	12 Aug →
nuke	10–13	0.02	10%	12 Aug →
cache	10–13	-0.02	15%	11 Aug →
anubis	13–2	0.01	45%	10 Aug →
cache	13–10	0.01	11%	10 Aug →
mirage	13–7	0.06	28%	9 Aug →
nuke	13–10	0.00	27%	9 Aug →
mirage	2–13	-0.02	21%	8 Aug →
inferno	0–13	-0.07	13%	8 Aug →
cache	16–13	0.04	17%	8 Aug →
mirage	15–15	-0.00	24%	8 Aug →
nuke	13–8	-0.06	16%	8 Aug →
cache	13–10	0.07	19%	8 Aug →
mirage	13–9	0.05	19%	8 Aug →
mirage	4–13	-0.06	31%	8 Aug →
nuke	13–10	0.03	21%	7 Aug →
ancient	8–13	0.04	11%	7 Aug →
mirage	13–7	-0.04	21%	6 Aug →
anubis	13–3	0.02	21%	6 Aug →
mirage	11–13	0.04	11%	6 Aug →
cache	9–13	-0.00	18%	28 Jul →
anubis	13–11	-0.01	11%	28 Jul →
mirage	11–13	-0.02	22%	27 Jul →
mirage	6–13	0.04	15%	27 Jul →
inferno	13–5	0.17	32%	27 Jul →
nuke	13–8	0.02	14%	27 Jul →
mirage	13–7	0.04	15%	27 Jul →
mirage	13–7	0.05	29%	26 Jul →
inferno	9–13	0.05	20%	26 Jul →
dust2	10–13	0.01	25%	26 Jul →
mirage	4–13	-0.06	13%	25 Jul →
mirage	13–10	0.04	26%	25 Jul →
boulder	13–8	0.09	22%	25 Jul →
nuke	4–13	-0.05	13%	24 Jul →
dust2	9–13	0.00	17%	24 Jul →
ancient	13–8	-0.02	18%	24 Jul →
anubis	10–13	0.05	20%	24 Jul →
inferno	15–15	-0.04	16%	24 Jul →
anubis	2–13	-0.07	22%	23 Jul →
inferno	13–16	0.03	19%	22 Jul →
nuke	13–11	0.02	18%	22 Jul →
anubis	9–13	-0.03	14%	22 Jul →
mirage	1–13	-0.06	22%	22 Jul →
mirage	10–13	-0.03	11%	22 Jul →
mirage	13–9	-0.00	16%	21 Jul →
anubis	13–5	0.07	17%	21 Jul →
mirage	9–13	-0.06	15%	21 Jul →
cache	15–15	0.04	23%	21 Jul →
mirage	13–11	0.02	14%	21 Jul →
mirage	9–13	0.04	22%	20 Jul →
dust2	13–7	0.05	30%	20 Jul →
inferno	13–8	0.08	33%	20 Jul →
dust2	13–7	0.02	22%	20 Jul →
inferno	13–8	0.06	18%	20 Jul →
inferno	5–13	0.01	15%	19 Jul →
inferno	7–13	-0.03	21%	19 Jul →
inferno	15–15	-0.00	23%	19 Jul →
mirage	13–0	-0.04	6%	19 Jul →
mirage	13–3	0.07	22%	19 Jul →
mirage	13–10	0.03	29%	19 Jul →
nuke	7–13	0.06	20%	18 Jul →
nuke	13–4	-0.03	27%	18 Jul →
ancient	7–13	-0.04	30%	18 Jul →
mirage	13–10	0.06	21%	18 Jul →
inferno	5–13	0.06	29%	18 Jul →
inferno	13–3	0.13	20%	18 Jul →