Get — CS2 Stats

SE76561197960942721[U:1:676993]Steam profile ↗✓ No bans

2,585Tracked matches53%Win rate2020Tracked since

CSDB Rating5.2 Developing

Premier CS Rating20,861Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#9327 of 25118 tracked

FaceitLevel 10 · 2,047 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning54

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLWWLWWLLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.2

Aggression8.9

Utility6.5

Positioning5.4

Opening Duels4.3

Clutch4.0

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 87% playstyle similarity

Most alike: utility contribution, 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. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2

Positioning5.4

Utility6.5

Mechanics2.8

Opening Duels4.3

Win Impact6.1

Composite 5.2/10 (Developing), 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 rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time571ms−13ms

first ⅓ avg 584ms → last ⅓ avg 571ms

Headshot accuracy13.7%−0.9%

first ⅓ avg 14.6% → last ⅓ avg 13.7%

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

0.14Best rating — dust2 13–1

13–1Biggest win — inferno

4Longest win streak

7–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 92% over 12infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	19	6–13	32%	-0.00
cache	A	17	10–7	59%	0.01
anubis	B	17	9–8	53%	0.01
dust2	C	16	7–9	44%	0.03
mirage	S	12	11–1	92%	0.05
nuke	S	10	9–1	90%	0.01
inferno	D	7	2–5	29%	0.02
cbble_d	—	1	0–1	0%	-0.06
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

826Matches

51%Win rate

1.06Avg K/D

77.7ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

17%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	156	51%	0.91	13.8
Anubis	113	57%	1.05	14.7
Inferno	85	47%	1.16	15.2
Dust2	79	41%	0.98	14.2
Ancient	74	47%	0.99	15.6
Nuke	60	55%	1.06	15.4
Vertigo	40	55%	1.05	15.4
Train	12	67%	1.01	12.4

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.

13.5%Headshot accuracy

34.1%Accuracy (enemy spotted)

39.2%Spray accuracy

62.6%Counter-strafing

10.4°Preaim

568msReaction time

42.0%T opening success

52.8%CT opening success

0.70Enemies flashed / flash

8.7%Flash assists

13.29HE damage / grenade

10.21Flashes / 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 13.4863% — below the 15% mark we flag
Aim Training →

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.

29% win rate across 7 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
cbble_d	6–13	-0.06	14%	21 Aug →
cache	13–8	0.04	15%	21 Aug →
anubis	13–6	0.05	10%	21 Aug →
ancient	10–13	-0.03	9%	21 Aug →
anubis	13–7	0.04	10%	21 Aug →
nuke	16–14	0.01	11%	21 Aug →
ancient	8–13	-0.07	10%	20 Aug →
dust2	6–13	-0.01	10%	20 Aug →
dust2	13–16	0.01	20%	20 Aug →
anubis	13–10	0.13	9%	20 Aug →
dust2	6–13	0.04	12%	19 Aug →
anubis	13–10	0.01	9%	19 Aug →
dust2	16–13	-0.03	9%	18 Aug →
cache	15–19	0.04	15%	18 Aug →
ancient	13–16	-0.00	12%	18 Aug →
dust2	9–13	0.05	14%	17 Aug →
cache	13–9	0.02	14%	17 Aug →
inferno	11–13	-0.02	24%	17 Aug →
cache	8–13	0.03	14%	17 Aug →
nuke	13–11	0.00	16%	17 Aug →
dust2	13–6	0.03	22%	17 Aug →
anubis	8–13	-0.03	23%	15 Aug →
mirage	13–6	0.02	15%	15 Aug →
cache	13–7	0.06	22%	15 Aug →
ancient	6–13	-0.02	5%	15 Aug →
anubis	13–5	-0.06	8%	15 Aug →
inferno	13–1	0.08	17%	15 Aug →
mirage	13–8	0.07	14%	15 Aug →
dust2	13–1	0.14	16%	15 Aug →
cache	7–13	-0.04	5%	14 Aug →
mirage	13–6	0.09	24%	14 Aug →
ancient	13–11	-0.03	16%	14 Aug →
dust2	10–13	-0.03	7%	14 Aug →
cache	4–13	-0.06	11%	14 Aug →
anubis	9–13	-0.09	7%	14 Aug →
mirage	13–5	0.05	24%	14 Aug →
vertigo	6–13	-0.07	15%	8 Aug →
dust2	13–16	-0.01	14%	8 Aug →
ancient	13–6	0.05	14%	8 Aug →
anubis	13–8	0.03	13%	8 Aug →
mirage	8–2	0.04	14%	8 Aug →
dust2	6–13	-0.03	19%	8 Aug →
anubis	7–13	-0.06	6%	8 Aug →
cache	2–13	-0.04	18%	8 Aug →
ancient	7–13	-0.02	9%	7 Aug →
nuke	13–9	-0.01	16%	7 Aug →
cache	13–5	0.04	17%	7 Aug →
ancient	7–13	0.00	6%	7 Aug →
nuke	8–13	0.03	9%	7 Aug →
nuke	13–7	0.06	9%	7 Aug →
mirage	13–10	0.07	20%	7 Aug →
inferno	9–13	-0.01	8%	7 Aug →
ancient	13–5	0.01	5%	7 Aug →
ancient	19–15	0.04	11%	7 Aug →
dust2	16–14	-0.01	10%	6 Aug →
anubis	6–13	-0.01	19%	6 Aug →
mirage	13–9	0.00	13%	6 Aug →
anubis	25–23	0.02	13%	5 Aug →
inferno	11–13	0.03	11%	5 Aug →
nuke	13–10	-0.02	11%	5 Aug →
inferno	5–7	0.05	7%	5 Aug →
cache	13–7	0.03	15%	5 Aug →
ancient	0–13	-0.10	12%	5 Aug →
ancient	15–15	-0.02	9%	4 Aug →
cache	13–6	0.03	24%	4 Aug →
ancient	13–1	0.05	5%	4 Aug →
dust2	13–5	0.10	24%	4 Aug →
anubis	9–13	0.01	14%	4 Aug →
nuke	16–13	-0.05	7%	4 Aug →
ancient	10–13	0.00	13%	4 Aug →
cache	13–10	0.04	24%	4 Aug →
inferno	9–13	0.00	10%	3 Aug →
anubis	7–13	-0.02	16%	3 Aug →
inferno	13–5	0.02	12%	3 Aug →
cache	10–13	-0.03	10%	3 Aug →
ancient	14–16	0.01	19%	2 Aug →
cache	13–7	0.09	27%	2 Aug →
anubis	13–1	0.14	35%	2 Aug →
anubis	13–7	0.02	6%	2 Aug →
nuke	13–4	0.03	12%	2 Aug →
ancient	11–13	-0.03	10%	1 Aug →
dust2	13–11	0.01	23%	1 Aug →
ancient	10–13	-0.01	10%	1 Aug →
cache	13–10	-0.01	16%	1 Aug →
ancient	13–7	0.06	19%	1 Aug →
dust2	13–4	0.14	20%	1 Aug →
dust2	7–13	0.08	17%	1 Aug →
anubis	5–13	-0.04	16%	25 Jul →
cache	11–13	-0.06	7%	25 Jul →
mirage	15–15	-0.00	9%	25 Jul →
mirage	13–6	0.04	13%	25 Jul →
dust2	8–13	0.01	7%	25 Jul →
anubis	7–13	-0.03	5%	24 Jul →
cache	16–14	0.01	18%	24 Jul →
nuke	13–7	0.04	17%	24 Jul →
nuke	13–7	0.05	12%	24 Jul →
mirage	13–7	0.11	14%	24 Jul →
ancient	11–13	0.01	18%	20 Jul →
mirage	13–6	0.04	12%	20 Jul →
mirage	13–4	0.08	15%	20 Jul →