Tox! — CS2 Stats

76561197983774926[U:1:23509198]✓ No bans

2,004Tracked matches41%Win rate2020Tracked since

CSDB Rating4.0 Developing

Premier CS Rating10,554Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#36687 of 51689 tracked

FaceitLevel 3 · 867 ELOTop 90.6% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning51

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateLWLLWLLWTW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim3.9

Aggression8.8

Utility4.8

Positioning5.1

Opening Duels4.0

Clutch2.0

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 ropz 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 562ms 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

Aim3.9

Positioning5.1

Utility4.8

Mechanics4.8

Opening Duels4.0

Win Impact2.1

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time556ms−91ms

first ⅓ avg 647ms → last ⅓ avg 556ms

Headshot accuracy13.5%−0.3%

first ⅓ avg 13.8% → last ⅓ avg 13.5%

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 — inferno 13–3

13–3Biggest win — inferno

5Longest win streak

9–12In matches decided by ≤2 rounds

18Overtime games

Map breakdown

infernoBest map · 59% over 29anubisWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	29	17–12	59%	0.02
dust2	C	23	10–13	43%	-0.01
anubis	D	15	5–10	33%	0.00
nuke	D	12	4–8	33%	0.01
cache	C	11	4–7	36%	-0.02
mirage	D	9	3–6	33%	0.01
ancient	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

355Matches

49%Win rate

0.96Avg K/D

75.8ADR

35%Headshot %

Clutches & streaks

30%1v1 clutch win

21%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	100	65%	1.15	15.7
Anubis	60	42%	0.85	13.4
Mirage	46	33%	0.78	12.2
Dust2	39	33%	0.91	14.8
Nuke	34	59%	0.98	15.9
Ancient	11	36%	1.06	18.4
Cache	2	0%	0.55	9.5
Overpass	1	0%	0.68	21.0

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.

13.0%Headshot accuracy

28.9%Accuracy (enemy spotted)

33.2%Spray accuracy

71.8%Counter-strafing

12.4°Preaim

562msReaction time

50.1%T opening success

41.7%CT opening success

0.60Enemies flashed / flash

3.8%Flash assists

13.18HE damage / grenade

2.15Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3848° — above the 12° mark we flag
Aim Training →
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 13.0337% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.1478 — below the 4 mark we flag
Grenade Lineups →

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 15 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
anubis	7–13	-0.06	11%	30 Aug →
mirage	13–10	-0.05	9%	30 Aug →
dust2	11–13	-0.07	4%	30 Aug →
inferno	8–13	0.03	6%	29 Aug →
inferno	13–3	0.12	18%	29 Aug →
cache	8–13	-0.01	14%	29 Aug →
anubis	10–13	-0.04	6%	29 Aug →
dust2	13–6	0.05	15%	29 Aug →
anubis	15–15	0.04	10%	20 Aug →
dust2	13–6	0.08	11%	20 Aug →
nuke	13–10	0.01	25%	20 Aug →
inferno	13–4	0.12	14%	20 Aug →
cache	2–10	-0.03	0%	19 Aug →
inferno	8–13	-0.02	2%	19 Aug →
dust2	6–13	-0.01	16%	19 Aug →
dust2	11–13	-0.05	19%	18 Aug →
dust2	16–13	-0.02	16%	18 Aug →
nuke	14–16	-0.03	14%	18 Aug →
cache	7–13	-0.04	3%	18 Aug →
dust2	10–13	-0.04	14%	17 Aug →
nuke	11–13	0.02	9%	17 Aug →
inferno	13–10	0.02	13%	17 Aug →
inferno	16–12	-0.01	10%	16 Aug →
nuke	9–13	-0.04	21%	16 Aug →
anubis	16–14	-0.00	18%	16 Aug →
inferno	13–7	0.06	13%	16 Aug →
inferno	11–13	-0.02	11%	15 Aug →
dust2	13–11	-0.03	11%	15 Aug →
anubis	5–13	-0.02	12%	15 Aug →
cache	3–13	-0.09	50%	11 Aug →
inferno	13–3	0.06	13%	11 Aug →
anubis	13–8	0.05	9%	11 Aug →
inferno	9–13	-0.00	26%	10 Aug →
cache	13–8	0.08	14%	10 Aug →
anubis	16–14	-0.01	20%	9 Aug →
nuke	16–14	-0.00	16%	9 Aug →
mirage	5–13	-0.03	18%	9 Aug →
anubis	10–13	0.01	5%	8 Aug →
inferno	13–5	0.01	20%	8 Aug →
anubis	8–13	0.00	16%	8 Aug →
nuke	13–7	0.01	16%	7 Aug →
dust2	15–15	-0.02	16%	7 Aug →
inferno	16–14	0.01	18%	7 Aug →
mirage	8–13	-0.05	12%	5 Aug →
anubis	7–13	0.04	21%	5 Aug →
cache	13–3	0.04	14%	4 Aug →
nuke	11–13	0.06	23%	4 Aug →
inferno	10–13	0.01	17%	4 Aug →
inferno	15–15	-0.02	11%	3 Aug →
inferno	13–5	-0.03	18%	3 Aug →
dust2	8–13	-0.06	16%	3 Aug →
cache	13–6	-0.02	21%	2 Aug →
anubis	10–13	-0.02	9%	2 Aug →
inferno	13–10	0.02	17%	2 Aug →
dust2	6–13	-0.06	6%	1 Aug →
inferno	14–16	0.00	7%	1 Aug →
cache	11–13	-0.07	13%	1 Aug →
cache	3–13	-0.06	9%	23 Jul →
dust2	16–13	0.03	12%	23 Jul →
inferno	13–11	-0.02	12%	23 Jul →
cache	13–9	-0.01	17%	23 Jul →
cache	9–13	0.01	13%	21 Jul →
inferno	13–5	0.03	18%	21 Jul →
mirage	8–13	0.09	10%	21 Jul →
dust2	8–13	-0.03	20%	20 Jul →
inferno	8–13	0.02	14%	20 Jul →
inferno	12–16	0.01	11%	20 Jul →
anubis	13–7	-0.01	13%	14 Jul →
inferno	13–10	-0.03	13%	14 Jul →
inferno	11–13	-0.02	13%	7 Jul →
dust2	12–10	-0.04	16%	1 Jul →
dust2	13–9	0.05	22%	1 Jul →
inferno	8–13	-0.02	19%	1 Jul →
dust2	6–13	-0.03	7%	1 Jul →
mirage	4–13	0.02	9%	29 Jun →
nuke	15–15	-0.00	17%	29 Jun →
dust2	15–15	0.03	5%	29 Jun →
nuke	15–15	-0.02	27%	28 Jun →
dust2	13–11	0.04	15%	28 Jun →
anubis	11–13	0.03	11%	28 Jun →
nuke	10–13	0.06	15%	27 Jun →
mirage	6–13	-0.00	19%	27 Jun →
dust2	9–13	-0.03	20%	27 Jun →
nuke	14–16	-0.01	12%	24 Jun →
anubis	10–13	-0.01	10%	24 Jun →
dust2	11–13	0.04	17%	24 Jun →
nuke	13–4	0.09	5%	23 Jun →
dust2	7–13	-0.09	0%	23 Jun →
inferno	13–9	0.04	15%	23 Jun →
inferno	13–6	0.09	14%	22 Jun →
inferno	8–13	-0.03	18%	22 Jun →
inferno	13–10	0.01	3%	22 Jun →
mirage	15–15	0.03	15%	22 Jun →
mirage	13–11	-0.01	13%	21 Jun →
anubis	13–7	0.01	18%	21 Jun →
mirage	13–7	0.08	13%	21 Jun →
inferno	13–8	0.03	13%	21 Jun →
dust2	13–5	0.06	17%	21 Jun →
ancient	8–13	-0.00	17%	20 Jun →
dust2	13–5	0.04	15%	19 Jun →