t0fu — CS2 Stats

76561198865784503[U:1:905518775]Steam profile ↗✓ No bans

909Tracked matches52%Win rate2020Tracked since

CSDB Rating3.9 Learning

Premier CS Rating14,981Blue band · top ~28.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning33

Utility20

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWWWLLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim5.0

Aggression4.0

Utility2.0

Positioning3.3

Opening Duels0.6

Clutch1.0

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 NiKo 73% playstyle similarity

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

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Positioning3.3

Utility2.0

Mechanics6.3

Opening Duels1.5

Win Impact5.6

Composite 3.9/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time669ms−66ms

first ⅓ avg 735ms → last ⅓ avg 669ms

Headshot accuracy19.0%−4.2%

first ⅓ avg 23.2% → last ⅓ avg 19.0%

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

0.06Best rating — inferno 13–9

13–1Biggest win — dust2

3Longest win streak

W3Current streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 55% over 20overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	23	10–13	43%	-0.04
inferno	A	20	11–9	55%	-0.04
anubis	C	16	7–9	44%	-0.03
dust2	D	15	5–10	33%	-0.04
ancient	C	11	4–7	36%	-0.03
mirage	B	6	3–3	50%	-0.04
overpass	D	5	1–4	20%	-0.04
cache	—	3	1–2	33%	-0.04
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

77Matches

52%Win rate

0.77Avg K/D

66.4ADR

44%Headshot %

Clutches & streaks

25%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	7	71%	0.91	14.6
Anubis	5	60%	0.68	11.6
Nuke	4	75%	0.89	12.8
Ancient	2	50%	0.52	9.5
Train	1	100%	2.20	22.0
Cache	1	100%	1.06	17.0
Dust2	1	100%	0.45	9.0

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.

18.1%Headshot accuracy

31.0%Accuracy (enemy spotted)

32.2%Spray accuracy

78.4%Counter-strafing

10.7°Preaim

656msReaction time

22.9%T opening success

41.9%CT opening success

0.28Enemies flashed / flash

3.5%Flash assists

8.53HE damage / grenade

1.72Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2798 — below the 0.5 mark we flag
Grenade Lineups →
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 22.9038% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.00	15%	28 Aug →
nuke	13–3	-0.04	16%	28 Aug →
ancient	13–4	0.05	20%	28 Aug →
nuke	7–13	-0.11	17%	28 Aug →
cache	10–13	-0.02	18%	28 Aug →
ancient	8–13	-0.06	13%	27 Aug →
dust2	3–13	-0.05	14%	27 Aug →
inferno	13–9	0.06	19%	21 Aug →
anubis	13–8	-0.00	15%	21 Aug →
nuke	16–13	-0.03	8%	21 Aug →
inferno	11–13	-0.03	26%	20 Aug →
ancient	0–13	-0.08	100%	11 Aug →
inferno	10–13	-0.06	10%	11 Aug →
inferno	13–9	-0.08	9%	11 Aug →
dust2	11–13	-0.07	22%	10 Aug →
anubis	7–13	-0.06	12%	10 Aug →
nuke	13–5	-0.01	13%	10 Aug →
mirage	11–13	-0.01	7%	10 Aug →
ancient	13–10	-0.01	16%	10 Aug →
ancient	4–13	-0.03	22%	8 Aug →
ancient	13–6	-0.04	22%	8 Aug →
nuke	16–13	-0.07	15%	8 Aug →
nuke	13–7	-0.05	27%	8 Aug →
ancient	15–15	-0.04	19%	25 Jul →
dust2	13–11	-0.02	20%	25 Jul →
cache	13–8	-0.08	8%	12 Jul →
vertigo	6–13	-0.07	13%	12 Jul →
mirage	8–13	-0.07	19%	12 Jul →
anubis	11–13	0.01	27%	12 Jul →
anubis	13–7	-0.08	15%	12 Jul →
anubis	13–10	-0.07	19%	12 Jul →
anubis	9–13	-0.05	9%	12 Jul →
inferno	13–4	-0.05	21%	12 Jul →
nuke	7–13	-0.04	27%	5 Jul →
anubis	11–13	-0.04	22%	5 Jul →
dust2	13–7	0.01	22%	5 Jul →
nuke	7–13	-0.06	14%	4 Jul →
nuke	13–11	-0.00	20%	4 Jul →
inferno	13–11	-0.06	16%	4 Jul →
anubis	7–13	-0.08	25%	4 Jul →
inferno	4–13	-0.02	19%	4 Jul →
nuke	7–13	-0.05	25%	7 Jun →
dust2	13–8	0.04	24%	7 Jun →
inferno	16–14	-0.10	22%	7 Jun →
inferno	4–13	-0.03	20%	30 May →
dust2	15–15	-0.05	22%	30 May →
overpass	4–13	-0.08	14%	30 May →
anubis	1–13	-0.08	33%	30 May →
nuke	13–11	-0.02	29%	30 May →
anubis	2–13	-0.06	27%	2 May →
cache	8–13	-0.03	18%	2 May →
anubis	13–7	-0.04	17%	26 Apr →
dust2	13–10	-0.02	19%	26 Apr →
inferno	3–13	-0.11	22%	26 Apr →
nuke	15–15	-0.06	21%	26 Apr →
inferno	13–10	0.00	15%	26 Apr →
inferno	13–9	-0.03	21%	26 Apr →
nuke	9–13	-0.01	23%	26 Apr →
dust2	5–13	-0.10	14%	24 Apr →
mirage	6–13	-0.02	13%	24 Apr →
nuke	10–13	-0.07	32%	21 Apr →
anubis	13–9	0.01	13%	21 Apr →
anubis	13–11	0.01	23%	21 Apr →
dust2	10–13	-0.03	15%	20 Apr →
nuke	7–13	-0.01	20%	20 Apr →
nuke	9–13	-0.04	23%	18 Apr →
ancient	4–13	-0.04	9%	18 Apr →
inferno	13–9	-0.03	28%	17 Apr →
inferno	13–9	-0.05	22%	17 Apr →
dust2	13–1	-0.02	25%	17 Apr →
ancient	14–16	-0.00	13%	12 Apr →
overpass	11–13	0.01	19%	12 Apr →
nuke	12–16	-0.07	23%	12 Apr →
dust2	10–13	-0.03	27%	10 Apr →
inferno	13–5	0.05	19%	10 Apr →
nuke	13–11	-0.09	26%	21 Feb →
ancient	7–13	-0.04	22%	21 Feb →
overpass	7–13	-0.06	16%	21 Feb →
anubis	6–13	-0.01	31%	21 Feb →
overpass	7–13	-0.01	9%	21 Feb →
dust2	2–13	-0.08	20%	21 Feb →
nuke	7–13	-0.10	12%	21 Feb →
inferno	8–13	-0.12	14%	15 Feb →
nuke	7–13	0.01	42%	15 Feb →
nuke	13–8	0.03	35%	31 Jan →
inferno	9–13	-0.06	19%	31 Jan →
dust2	9–13	-0.09	24%	31 Jan →
inferno	7–13	0.04	29%	31 Jan →
overpass	13–7	-0.05	24%	31 Jan →
anubis	10–13	0.00	23%	31 Jan →
mirage	13–10	-0.10	33%	31 Jan →
mirage	13–9	-0.01	33%	31 Jan →
ancient	13–8	-0.02	15%	31 Jan →
inferno	15–15	-0.04	23%	30 Jan →
nuke	7–13	-0.01	26%	30 Jan →
dust2	8–13	-0.06	24%	28 Sept →
mirage	13–10	-0.03	20%	20 Sept →
anubis	13–10	-0.02	30%	20 Sept →
dust2	7–13	-0.08	25%	19 Sept →
nuke	13–8	-0.02	17%	19 Sept →