Sab — CS2 Stats

76561198355233195[U:1:394967467]

2,817Tracked matches43%Win rate2020Tracked since

5,159Hours in CS87Hrs last 2 wks

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 10 · 2,296 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	57.4%	52.8%
Shot accuracy	12.4%	13.7%
Kill/death ratio	2.22	1.08
Match win rate	41.6%	49.2%

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Performance scores

Aim89

Positioning68

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateWWLLWLWLLW

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

Player DNA

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

Aim8.9

Aggression7.5

Utility6.0

Positioning6.8

Opening Duels2.5

Clutch4.4

Sharp aimerStrong 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 b1t 95% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning6.8

Utility6.0

Mechanics6.4

Opening Duels2.5

Win Impact2.8

Composite 6.4/10 (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 rating0.04−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time540ms−71ms

first ⅓ avg 611ms → last ⅓ avg 540ms

Headshot accuracy22.0%−3.0%

first ⅓ avg 25.0% → last ⅓ avg 22.0%

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

0.19Best rating — anubis 13–4

13–1Biggest win — nuke

8Longest win streak

W2Current streak

11–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 80% over 20mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	14–8	64%	0.06
cache	S	20	16–4	80%	0.06
inferno	B	17	9–8	53%	0.03
anubis	C	15	6–9	40%	0.04
dust2	C	9	4–5	44%	0.04
ancient	C	8	3–5	38%	0.06
mirage	D	7	2–5	29%	-0.00
train	—	1	1–0	100%	0.07
fachwerk	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

226,577Lifetime kills

2.22K/D · Top 1% of Level 10 players

6,467Matches

41.6%Match win rate

57.4%Headshot % · Top 50% of Level 10 players

12.4%Shot accuracy

20,658MVPs

2,327Hours (in match)

8,939Bombs planted

2,457Bombs defused

Most-used weapons

AK-4783,430

AWP30,630

Desert Eagle29,244

M4A4 / M4A1-S25,917

P2000 / USP-S9,005

Glock-186,535

Galil AR5,187

MP94,490

Tec-94,229

SSG 083,081

Lifetime map wins

9,950inferno

8,241dust2

4,962nuke

1,568vertigo

1,478train

812lake

401cbble

216office

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

Faceit stats

Combat

1,654Matches

49%Win rate

1.45Avg K/D

91.4ADR

48%Headshot %

Clutches & streaks

42%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	257	46%	1.44	19.9
Inferno	207	48%	1.50	20.0
Dust2	207	43%	1.33	19.1
Nuke	199	53%	1.61	21.8
Ancient	195	45%	1.49	20.6
Anubis	190	45%	1.49	20.0
Overpass	90	50%	1.55	21.9
Cache	52	67%	1.62	20.0

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.

22.5%Headshot accuracy

40.1%Accuracy (enemy spotted)

46.1%Spray accuracy

78.6%Counter-strafing

9.3°Preaim

535msReaction time

32.3%T opening success

47.6%CT opening success

0.66Enemies flashed / flash

11.9%Flash assists

8.97HE damage / grenade

7.13Flashes / 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 32.3012% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	0.11	29%	28 Aug →
nuke	13–4	0.10	26%	27 Aug →
inferno	8–13	0.02	21%	26 Aug →
anubis	14–16	0.03	18%	26 Aug →
inferno	13–8	0.02	22%	26 Aug →
inferno	13–16	0.06	20%	26 Aug →
anubis	13–11	0.06	20%	25 Aug →
inferno	3–13	0.02	17%	25 Aug →
dust2	3–13	-0.05	17%	25 Aug →
nuke	16–14	0.07	32%	25 Aug →
anubis	13–11	0.05	17%	25 Aug →
nuke	13–10	0.17	27%	25 Aug →
cache	5–13	0.13	20%	25 Aug →
anubis	9–13	0.03	17%	25 Aug →
dust2	10–13	0.01	19%	24 Aug →
nuke	13–4	0.14	30%	24 Aug →
train	13–3	0.07	23%	24 Aug →
dust2	4–13	0.00	28%	24 Aug →
inferno	10–13	0.00	20%	24 Aug →
dust2	6–13	-0.03	23%	23 Aug →
nuke	11–13	0.15	19%	23 Aug →
dust2	6–13	0.10	19%	21 Aug →
cache	13–8	0.13	19%	21 Aug →
nuke	9–13	0.09	21%	20 Aug →
nuke	13–11	0.04	39%	19 Aug →
anubis	14–16	-0.00	27%	19 Aug →
mirage	13–9	0.02	27%	18 Aug →
anubis	4–13	-0.07	13%	18 Aug →
cache	13–7	-0.01	13%	17 Aug →
cache	10–13	0.03	28%	17 Aug →
mirage	9–13	-0.01	20%	16 Aug →
ancient	6–13	-0.03	18%	15 Aug →
anubis	6–13	0.02	18%	15 Aug →
nuke	13–9	0.10	15%	15 Aug →
inferno	8–13	-0.01	19%	13 Aug →
nuke	7–13	0.07	15%	13 Aug →
anubis	11–13	0.09	20%	12 Aug →
mirage	6–13	-0.04	33%	12 Aug →
dust2	13–10	0.06	23%	11 Aug →
ancient	13–2	0.11	28%	11 Aug →
inferno	8–8	0.03	24%	10 Aug →
cache	13–11	0.11	34%	9 Aug →
anubis	13–5	0.13	46%	6 Aug →
nuke	13–11	0.08	18%	6 Aug →
inferno	13–8	0.07	21%	5 Aug →
cache	6–13	-0.07	21%	4 Aug →
cache	13–4	0.10	34%	4 Aug →
nuke	7–13	0.01	18%	3 Aug →
fachwerk	13–7	0.06	10%	2 Aug →
inferno	13–11	0.07	24%	2 Aug →
dust2	13–7	0.06	31%	2 Aug →
nuke	13–1	-0.00	23%	2 Aug →
cache	13–9	0.02	21%	2 Aug →
cache	13–8	0.08	24%	2 Aug →
inferno	13–7	0.02	21%	2 Aug →
dust2	13–8	0.00	32%	2 Aug →
ancient	13–16	0.00	15%	2 Aug →
nuke	13–6	0.02	11%	1 Aug →
nuke	13–5	0.03	29%	31 Jul →
nuke	13–8	0.06	22%	31 Jul →
nuke	13–10	-0.01	19%	30 Jul →
mirage	11–13	0.04	23%	30 Jul →
anubis	14–16	0.12	20%	30 Jul →
cache	16–13	0.12	28%	28 Jul →
anubis	9–13	-0.01	21%	27 Jul →
mirage	9–13	0.02	23%	27 Jul →
mirage	13–10	-0.04	29%	27 Jul →
cache	13–8	0.18	29%	27 Jul →
nuke	8–13	-0.07	20%	27 Jul →
inferno	9–6	-0.01	39%	27 Jul →
cache	13–8	0.04	19%	27 Jul →
ancient	11–13	0.03	23%	27 Jul →
anubis	13–9	0.04	19%	27 Jul →
ancient	13–6	0.06	18%	25 Jul →
cache	28–24	0.02	17%	24 Jul →
cache	13–11	0.07	20%	23 Jul →
nuke	10–13	0.03	33%	23 Jul →
inferno	16–14	0.02	27%	20 Jul →
anubis	8–13	-0.01	20%	19 Jul →
anubis	13–4	0.01	38%	19 Jul →
inferno	13–11	0.03	25%	19 Jul →
cache	13–11	0.04	22%	19 Jul →
anubis	13–4	0.19	38%	19 Jul →
ancient	11–13	0.04	17%	19 Jul →
mirage	2–13	-0.01	18%	18 Jul →
cache	13–4	0.02	39%	18 Jul →
inferno	13–6	0.03	49%	18 Jul →
nuke	13–5	0.04	24%	18 Jul →
inferno	10–13	0.05	21%	18 Jul →
nuke	13–10	0.05	32%	18 Jul →
ancient	10–13	0.14	23%	17 Jul →
cache	13–10	-0.01	28%	17 Jul →
nuke	11–13	0.02	12%	16 Jul →
inferno	6–13	0.03	19%	16 Jul →
cache	9–13	0.06	10%	15 Jul →
nuke	11–13	0.10	23%	15 Jul →
dust2	13–7	0.16	28%	14 Jul →
inferno	13–7	0.01	24%	12 Jul →
ancient	16–12	0.14	36%	11 Jul →
cache	13–10	0.02	16%	11 Jul →