tokee- — CS2 Stats

76561198279268080[U:1:319002352]Steam profile ↗✓ No bans

3,954Tracked matches63%Win rate2020Tracked since

7,797Hours in CS37Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating21,690Top 50% of 44,590 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#16960 of 59564 tracked

FaceitLevel 10 · 2,469 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	56.0%	51.7%
Shot accuracy	14.4%	13.8%
Kill/death ratio	1.10	1.09
Match win rate	46.7%	48.7%

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Performance scores

Aim63

Positioning61

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY64–35–1Last 10064%Win rateLLWLWWLWWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression7.0

Utility7.7

Positioning6.1

Opening Duels3.6

Clutch3.8

Strong CT-side openerHigh utility contribution

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 Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim6.3

Positioning6.1

Utility7.7

Mechanics5.1

Opening Duels3.6

Win Impact9.4

Composite 6.5/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time578ms−5ms

first ⅓ avg 583ms → last ⅓ avg 578ms

Headshot accuracy20.0%−2.4%

first ⅓ avg 22.3% → last ⅓ avg 20.0%

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

0.29Best rating — inferno 9–1

13–1Biggest win — dust2

8Longest win streak

L2Current streak

16–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 80% over 5ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.02
inferno	S	27	21–6	78%	0.05
nuke	S	15	10–5	67%	0.01
anubis	B	10	5–5	50%	0.03
ancient	C	9	4–5	44%	0.03
mirage	S	5	4–1	80%	0.05
poseidon	—	3	2–1	67%	-0.02
overpass	—	2	2–0	100%	0.01
sanctum	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

459,059Lifetime kills

1.10K/D · Top 50% of Level 10 players

10,615Matches

46.7%Match win rate

56.0%Headshot % · Top 50% of Level 10 players

14.4%Shot accuracy · Top 50% of Level 10 players

39,578MVPs

10,624Hours (in match)

8,200Bombs planted

9,295Bombs defused

Most-used weapons

AK-47194,592

Desert Eagle55,411

M4A4 / M4A1-S54,443

AWP42,998

P2000 / USP-S40,248

Glock-1814,012

P2507,534

Knife5,939

Galil AR5,031

MP94,885

Lifetime map wins

25,975inferno

15,510dust2

6,608nuke

4,402vertigo

3,890train

1,726cbble

118lake

81office

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

Faceit stats

Combat

3,501Matches

51%Win rate

1.11Avg K/D

78.5ADR

46%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	402	52%	1.09	16.0
Inferno	309	58%	1.13	15.9
Dust2	286	53%	1.08	15.8
Anubis	263	49%	1.04	15.6
Nuke	142	48%	1.03	15.5
Mirage	140	50%	1.10	15.6
Overpass	62	48%	1.07	15.9
Train	26	42%	1.06	15.9

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.

19.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

35.1%Spray accuracy

72.9%Counter-strafing

10.4°Preaim

572msReaction time

31.8%T opening success

56.8%CT opening success

0.63Enemies flashed / flash

10.9%Flash assists

9.68HE damage / grenade

22.73Flashes / 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 31.8202% — below the 40% mark we flag

Spend your practice time on Ancient

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–5	-0.00	13%	23 Aug →
ancient	11–13	0.01	22%	21 Aug →
inferno	13–10	-0.05	6%	20 Aug →
inferno	5–13	-0.09	25%	15 Aug →
dust2	13–11	0.09	35%	9 Aug →
inferno	13–11	0.04	21%	2 Aug →
dust2	9–13	-0.05	20%	21 Jul →
inferno	13–6	0.03	13%	11 Jul →
nuke	16–13	0.00	11%	10 Jul →
nuke	16–14	0.03	18%	5 Jul →
inferno	4–13	-0.00	20%	5 Jul →
ancient	6–13	0.00	29%	5 Jul →
mirage	9–13	0.01	19%	10 Jun →
ancient	13–5	0.11	22%	27 May →
nuke	5–13	-0.00	12%	17 May →
ancient	16–14	0.03	15%	15 May →
anubis	16–14	0.07	22%	12 May →
mirage	19–17	0.04	22%	10 May →
mirage	13–9	0.05	29%	3 May →
mirage	13–5	0.15	15%	27 Apr →
anubis	13–8	0.01	14%	26 Apr →
dust2	16–13	0.02	19%	19 Apr →
inferno	13–8	0.06	19%	19 Apr →
ancient	7–13	0.03	23%	19 Apr →
nuke	9–7	0.02	7%	18 Apr →
anubis	13–11	0.10	15%	18 Apr →
anubis	4–13	-0.01	17%	16 Apr →
nuke	16–13	0.01	20%	13 Apr →
dust2	13–8	0.10	16%	13 Apr →
inferno	8–8	0.09	17%	7 Apr →
nuke	7–13	0.02	33%	6 Apr →
inferno	13–7	0.02	21%	6 Apr →
poseidon	0–9	-0.10	50%	5 Apr →
poseidon	9–4	0.05	21%	4 Apr →
inferno	9–7	0.17	22%	2 Apr →
inferno	13–3	0.16	23%	31 Mar →
nuke	5–13	-0.00	20%	30 Mar →
anubis	8–13	0.04	17%	26 Mar →
sanctum	9–4	0.08	31%	23 Mar →
inferno	9–1	0.29	44%	23 Mar →
inferno	13–9	0.02	22%	21 Mar →
dust2	8–13	-0.04	12%	18 Mar →
nuke	13–9	0.02	24%	18 Mar →
dust2	19–15	0.03	21%	18 Mar →
dust2	6–13	0.04	20%	15 Mar →
inferno	16–14	0.01	21%	15 Mar →
dust2	3–13	-0.04	33%	12 Mar →
ancient	11–13	0.04	22%	12 Mar →
dust2	10–13	0.01	23%	12 Mar →
dust2	13–7	-0.03	22%	9 Mar →
inferno	13–7	0.06	29%	9 Mar →
dust2	11–13	-0.02	23%	9 Mar →
nuke	13–10	0.01	19%	3 Mar →
dust2	7–13	-0.03	21%	1 Mar →
dust2	13–8	0.02	22%	1 Mar →
anubis	13–11	0.03	18%	1 Mar →
mirage	13–9	0.03	27%	28 Feb →
inferno	9–13	-0.03	7%	28 Feb →
dust2	13–11	0.08	10%	28 Feb →
ancient	13–6	0.08	15%	28 Feb →
nuke	9–13	0.06	24%	28 Feb →
anubis	4–13	-0.06	19%	28 Feb →
dust2	13–6	-0.00	19%	28 Feb →
nuke	2–13	-0.02	20%	28 Feb →
ancient	13–10	0.01	11%	28 Feb →
nuke	13–10	0.04	34%	28 Feb →
anubis	13–10	0.06	27%	28 Feb →
dust2	8–13	-0.04	18%	28 Feb →
inferno	13–10	-0.00	19%	28 Feb →
dust2	13–1	0.07	23%	28 Feb →
inferno	13–3	0.15	20%	28 Feb →
inferno	13–5	0.08	27%	28 Feb →
nuke	13–7	0.02	16%	28 Feb →
dust2	11–13	-0.02	14%	28 Feb →
inferno	11–13	-0.02	24%	27 Feb →
inferno	13–6	0.03	18%	27 Feb →
anubis	9–13	0.01	22%	27 Feb →
inferno	13–11	0.01	19%	27 Feb →
dust2	13–9	0.04	10%	27 Feb →
dust2	2–13	-0.01	29%	27 Feb →
inferno	13–1	0.09	26%	27 Feb →
nuke	13–11	0.01	22%	27 Feb →
dust2	13–9	0.07	20%	27 Feb →
nuke	13–9	0.01	29%	27 Feb →
anubis	17–19	0.05	15%	27 Feb →
ancient	7–13	-0.06	9%	27 Feb →
inferno	5–13	-0.05	19%	27 Feb →
poseidon	9–5	-0.02	22%	18 Feb →
inferno	9–5	0.16	26%	18 Feb →
inferno	9–7	-0.00	35%	17 Feb →
dust2	13–10	0.02	15%	17 Feb →
overpass	13–9	0.03	12%	17 Feb →
dust2	9–13	-0.03	41%	17 Feb →
overpass	16–14	-0.01	22%	16 Feb →
inferno	13–2	0.05	24%	16 Feb →
inferno	13–8	0.02	31%	16 Feb →
dust2	9–13	0.03	19%	16 Feb →
dust2	13–8	0.04	28%	13 Feb →
dust2	13–3	0.04	33%	13 Feb →
dust2	13–4	0.09	31%	13 Feb →