STΛVVΞ† — CS2 Stats

SE76561197963596747[U:1:3331019]Steam profile ↗1 game ban

761Tracked matches57%Win rate2023Tracked since

1,183Hours in CS1Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim80

Positioning54

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWTWLWWLWLL

Last 10 vs previous 10: -10pp win rate · -0.07 avg rating

Player DNA

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

Aim8.0

Aggression8.4

Utility5.1

Positioning5.4

Opening Duels3.4

Clutch1.6

Effective flashes

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 550ms 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

Aim8.0

Positioning5.4

Utility5.1

Mechanics6.9

Opening Duels3.4

Win Impact7.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time573ms+14ms

first ⅓ avg 559ms → last ⅓ avg 573ms

Headshot accuracy22.3%+7.2%

first ⅓ avg 15.1% → last ⅓ avg 22.3%

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

0.09Best rating — nuke 9–1

13–1Biggest win — mirage

4Longest win streak

11–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 62% over 13infernoWeakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	39	23–16	59%	0.00
inferno	C	21	9–12	43%	-0.02
dust2	B	13	7–6	54%	-0.01
cache	A	13	8–5	62%	-0.00
overpass	—	4	1–3	25%	-0.03
anubis	—	4	1–3	25%	-0.00
nuke	—	3	2–1	67%	0.05
ancient	—	3	2–1	67%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,609Lifetime kills

1.52K/D · Top 5% of tracked players

1,160Matches

51.1%Match win rate · Top 25% of tracked players

38.7%Headshot %

5.5%Shot accuracy

3,955MVPs

1,067Hours (in match)

817Bombs planted

468Bombs defused

Most-used weapons

AK-4711,473

M4A4 / M4A1-S6,594

Desert Eagle3,095

AWP2,754

P2000 / USP-S1,694

Glock-181,498

MP7620

P90584

Galil AR493

Knife449

Lifetime map wins

2,172dust2

1,811inferno

531nuke

394vertigo

206train

100italy

100office

100aztec

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

Faceit stats

Combat

351Matches

52%Win rate

1.03Avg K/D

85.0ADR

44%Headshot %

Clutches & streaks

28%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	139	63%	1.07	17.2
Inferno	67	49%	1.03	16.9
Dust2	63	43%	1.04	16.4
Overpass	20	50%	1.00	15.8
Ancient	17	65%	1.01	16.6
Anubis	16	25%	0.99	17.3
Cache	13	62%	1.04	15.8
Nuke	10	30%	0.99	14.8

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.

17.6%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.8%Spray accuracy

80.8%Counter-strafing

8.1°Preaim

550msReaction time

36.7%T opening success

50.5%CT opening success

0.73Enemies flashed / flash

4.1%Flash assists

6.40HE damage / grenade

5.54Flashes / 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 36.7294% — 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.

43% win rate across 21 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
mirage	13–8	-0.04	27%	30 Aug →
inferno	8–8	-0.05	29%	28 May →
mirage	16–13	-0.05	11%	25 May →
overpass	1–9	-0.13	50%	24 May →
inferno	9–7	0.08	18%	24 May →
nuke	9–6	0.02	31%	24 May →
inferno	0–9	-0.35	100%	24 May →
mirage	13–10	-0.02	13%	24 May →
dust2	10–13	-0.03	20%	24 May →
mirage	5–13	-0.11	14%	24 May →
nuke	5–13	0.03	20%	24 May →
mirage	13–6	0.04	20%	23 May →
cache	13–10	-0.00	22%	23 May →
inferno	13–11	-0.04	12%	23 May →
inferno	11–13	-0.01	15%	23 May →
mirage	13–8	0.06	22%	23 May →
dust2	13–3	0.04	13%	23 May →
inferno	9–13	-0.03	9%	22 May →
cache	13–3	0.04	22%	22 May →
mirage	11–13	-0.06	19%	18 May →
mirage	12–16	-0.02	25%	17 May →
ancient	13–10	-0.03	16%	17 May →
mirage	5–13	-0.02	33%	17 May →
anubis	13–11	0.05	20%	16 May →
cache	10–13	0.02	20%	16 May →
inferno	13–7	-0.01	13%	16 May →
mirage	13–5	0.08	17%	16 May →
dust2	3–13	-0.05	38%	14 May →
cache	13–11	0.01	18%	14 May →
mirage	13–7	0.02	16%	14 May →
mirage	13–9	0.01	12%	14 May →
ancient	13–9	0.01	10%	14 May →
cache	9–13	-0.03	15%	11 May →
dust2	11–13	-0.00	13%	11 May →
inferno	10–13	0.01	15%	11 May →
dust2	13–11	0.01	23%	10 May →
inferno	13–5	0.08	24%	10 May →
dust2	10–13	-0.10	22%	10 May →
mirage	13–8	0.06	16%	10 May →
cache	13–10	-0.05	9%	9 May →
mirage	10–13	-0.03	24%	9 May →
inferno	6–13	-0.08	4%	9 May →
dust2	9–13	-0.01	19%	8 May →
mirage	8–13	0.08	15%	8 May →
mirage	13–9	0.02	23%	8 May →
inferno	19–15	0.02	15%	8 May →
mirage	13–11	0.01	11%	8 May →
cache	13–8	0.00	18%	8 May →
inferno	11–13	0.02	16%	7 May →
inferno	16–13	-0.04	13%	7 May →
mirage	7–13	-0.10	11%	7 May →
inferno	16–13	0.04	14%	6 May →
mirage	12–16	-0.03	19%	6 May →
overpass	10–13	-0.01	19%	6 May →
mirage	13–8	0.06	18%	6 May →
mirage	8–13	-0.06	18%	6 May →
nuke	9–1	0.09	18%	6 May →
cache	10–13	-0.02	13%	5 May →
mirage	13–8	0.02	13%	4 May →
cache	13–10	-0.01	13%	4 May →
overpass	13–11	0.04	11%	4 May →
inferno	6–13	0.02	17%	4 May →
cache	10–13	0.00	15%	4 May →
inferno	13–7	0.06	13%	4 May →
cache	8–13	-0.03	18%	3 May →
inferno	8–13	-0.08	14%	3 May →
mirage	13–11	0.00	11%	2 May →
mirage	9–13	-0.06	14%	2 May →
mirage	13–8	-0.01	11%	2 May →
dust2	13–9	0.01	11%	2 May →
inferno	10–13	0.00	13%	2 May →
inferno	6–13	0.01	14%	2 May →
dust2	13–8	-0.02	9%	2 May →
anubis	10–13	-0.02	21%	2 May →
mirage	2–13	-0.06	9%	2 May →
dust2	13–5	0.01	16%	1 May →
anubis	7–13	-0.05	15%	1 May →
mirage	4–13	0.01	21%	1 May →
mirage	13–8	0.05	20%	1 May →
dust2	13–8	-0.01	14%	1 May →
dust2	13–8	0.02	20%	1 May →
overpass	4–13	-0.00	16%	1 May →
mirage	4–13	-0.01	11%	1 May →
inferno	13–11	-0.00	18%	1 May →
ancient	10–13	-0.00	12%	30 Apr →
cache	13–11	-0.01	14%	30 Apr →
mirage	19–16	0.02	22%	30 Apr →
mirage	13–8	0.05	24%	30 Apr →
mirage	9–13	0.05	16%	29 Apr →
cache	13–3	0.04	15%	29 Apr →
mirage	6–13	0.01	12%	29 Apr →
mirage	13–7	-0.01	18%	29 Apr →
mirage	10–13	-0.05	15%	28 Apr →
dust2	4–13	-0.01	16%	28 Apr →
mirage	13–1	0.06	14%	27 Apr →
mirage	13–10	0.03	10%	27 Apr →
mirage	13–7	0.07	15%	27 Apr →
mirage	13–11	0.01	15%	26 Apr →
inferno	10–13	-0.00	11%	26 Apr →
anubis	8–13	0.01	16%	26 Apr →