Tabs — CS2 Stats

76561198722037858[U:1:761772130]Steam profile ↗✓ No bans

385Tracked matches62%Win rate2026Tracked since

CSDB Rating4.2 Developing

Premier CS Rating9,531Light Blue band · top ~57.1% of ranked players (population est.)

CSDB Leaderboard#40521 of 55819 tracked

WingmanSilver Elite

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning39

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWLLWLWLWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim5.0

Aggression3.9

Utility4.4

Positioning3.9

Opening Duels1.5

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 NiKo 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 610ms 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

Aim5.0

Positioning3.9

Utility4.4

Mechanics4.8

Opening Duels1.5

Win Impact9.0

Composite 4.2/10 (Developing), 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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time612ms−9ms

first ⅓ avg 621ms → last ⅓ avg 612ms

Headshot accuracy15.0%−1.2%

first ⅓ avg 16.2% → last ⅓ avg 15.0%

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

0.12Best rating — dust2 13–6

13–2Biggest win — dust2

5Longest win streak

3–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 70% over 10anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	59	33–26	56%	-0.01
inferno	S	10	7–3	70%	0.01
anubis	D	9	3–6	33%	-0.00
nuke	D	6	2–4	33%	-0.02
ancient	—	4	3–1	75%	0.01
mirage	—	4	1–3	25%	-0.03
cache	—	3	0–3	0%	-0.00
train	—	2	0–2	0%	-0.02
overpass	—	2	0–2	0%	-0.08
vertigo	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.1%Headshot accuracy

31.1%Accuracy (enemy spotted)

32.9%Spray accuracy

71.6%Counter-strafing

9.2°Preaim

610msReaction time

30.1%T opening success

41.5%CT opening success

0.51Enemies flashed / flash

2.1%Flash assists

8.07HE damage / grenade

10.68Flashes / 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 30.074% — below the 40% mark we flag

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.

33% win rate across 9 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
dust2	10–13	-0.02	11%	22 Aug →
dust2	13–4	-0.06	23%	22 Aug →
dust2	6–13	-0.04	13%	22 Aug →
dust2	9–13	-0.05	22%	21 Aug →
dust2	13–5	0.00	8%	21 Aug →
dust2	9–13	0.01	15%	21 Aug →
dust2	13–3	0.05	9%	19 Aug →
dust2	9–13	-0.02	15%	19 Aug →
inferno	13–8	-0.03	11%	16 Aug →
dust2	6–13	-0.02	26%	16 Aug →
anubis	7–13	-0.00	16%	10 Aug →
inferno	13–4	0.09	13%	10 Aug →
inferno	13–4	-0.03	8%	9 Aug →
ancient	13–6	0.06	15%	9 Aug →
nuke	13–7	0.03	10%	9 Aug →
dust2	13–6	0.02	14%	9 Aug →
dust2	11–13	-0.01	22%	9 Aug →
dust2	9–13	-0.09	6%	8 Aug →
dust2	4–13	-0.00	13%	8 Aug →
dust2	13–10	0.03	13%	8 Aug →
dust2	13–4	0.02	23%	8 Aug →
dust2	13–2	0.04	14%	8 Aug →
dust2	6–13	-0.05	11%	8 Aug →
dust2	13–3	-0.06	10%	8 Aug →
dust2	13–7	-0.04	14%	7 Aug →
dust2	13–7	0.02	28%	7 Aug →
dust2	12–12	-0.00	15%	7 Aug →
dust2	13–9	-0.07	17%	7 Aug →
dust2	13–5	0.04	11%	7 Aug →
dust2	13–5	-0.01	23%	6 Aug →
dust2	12–12	0.03	19%	1 Aug →
dust2	13–11	-0.03	10%	1 Aug →
dust2	13–10	0.03	16%	1 Aug →
ancient	13–9	-0.02	10%	1 Aug →
train	11–13	-0.01	14%	1 Aug →
mirage	6–13	-0.06	6%	1 Aug →
cache	5–13	-0.02	11%	1 Aug →
inferno	13–5	0.07	22%	1 Aug →
mirage	13–5	-0.02	13%	1 Aug →
dust2	13–6	0.12	12%	1 Aug →
dust2	13–9	0.05	13%	1 Aug →
dust2	13–3	0.04	7%	31 Jul →
dust2	7–13	-0.08	23%	31 Jul →
dust2	8–13	-0.03	12%	31 Jul →
dust2	13–6	0.02	19%	31 Jul →
dust2	13–2	0.00	12%	31 Jul →
dust2	6–13	-0.07	20%	31 Jul →
ancient	2–13	0.01	10%	30 Jul →
dust2	8–13	0.01	29%	30 Jul →
anubis	9–13	-0.03	8%	26 Jul →
inferno	8–13	-0.01	13%	25 Jul →
dust2	13–6	-0.01	13%	25 Jul →
overpass	12–12	-0.00	22%	25 Jul →
anubis	13–3	0.10	16%	25 Jul →
train	10–13	-0.02	17%	25 Jul →
anubis	13–6	0.04	15%	25 Jul →
dust2	10–13	-0.01	19%	25 Jul →
anubis	7–13	-0.06	10%	24 Jul →
dust2	13–10	-0.01	12%	24 Jul →
anubis	9–13	-0.04	10%	22 Jul →
dust2	13–5	0.01	14%	22 Jul →
anubis	10–13	0.01	21%	22 Jul →
inferno	11–13	-0.02	16%	21 Jul →
ancient	13–4	-0.01	10%	20 Jul →
nuke	2–13	-0.09	2%	19 Jul →
dust2	13–7	-0.03	8%	19 Jul →
dust2	13–9	0.02	10%	19 Jul →
dust2	13–2	0.08	13%	19 Jul →
dust2	13–9	-0.02	18%	19 Jul →
dust2	13–9	0.05	13%	18 Jul →
anubis	12–12	-0.00	12%	18 Jul →
dust2	6–13	-0.04	7%	18 Jul →
cache	12–12	0.01	17%	18 Jul →
nuke	13–2	0.03	14%	18 Jul →
dust2	13–11	0.01	18%	17 Jul →
dust2	9–13	-0.07	17%	16 Jul →
dust2	10–13	-0.03	13%	16 Jul →
inferno	6–13	-0.03	21%	16 Jul →
mirage	6–13	-0.08	30%	16 Jul →
inferno	9–7	-0.04	17%	16 Jul →
mirage	11–13	0.02	11%	15 Jul →
dust2	11–13	-0.03	22%	15 Jul →
nuke	2–9	-0.11	14%	15 Jul →
vertigo	4–9	0.03	18%	15 Jul →
nuke	5–9	0.00	20%	15 Jul →
inferno	9–3	0.09	31%	15 Jul →
dust2	8–13	-0.06	10%	15 Jul →
dust2	13–7	-0.06	13%	14 Jul →
dust2	9–13	-0.04	21%	14 Jul →
anubis	13–4	-0.04	10%	14 Jul →
dust2	13–9	0.05	19%	14 Jul →
dust2	8–13	-0.09	7%	14 Jul →
dust2	13–2	0.01	6%	14 Jul →
cache	5–13	-0.01	14%	14 Jul →
dust2	7–13	0.02	22%	14 Jul →
overpass	2–9	-0.16	20%	14 Jul →
nuke	6–9	0.03	22%	14 Jul →
inferno	9–4	0.04	19%	14 Jul →
dust2	13–10	-0.04	10%	13 Jul →
dust2	4–13	-0.03	16%	13 Jul →