Toothless — CS2 Stats

76561198079650009[U:1:119384281]✓ No bans

1,538Tracked matches57%Win rate2020Tracked since

19,797Hours in CS13Hrs last 2 wks

CSDB Rating8.0 StrongAggressive Rifler

Premier CS Rating26,003Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#3415 of 42098 tracked

FaceitLevel 10 · 2,664 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	65.2%	51.9%
Shot accuracy	15.7%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	64.9%	48.7%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86

Positioning67

Utility72

0–100 skill scores via Leetify.

Recent form

HOT58–39–3Last 10058%Win rateWWWLWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression10.0

Utility7.2

Positioning6.7

Opening Duels5.1

Clutch3.6

Sharp aimerExcellent counter-strafing

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 ZywOo 96% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 621ms 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

Aim8.6

Positioning6.7

Utility7.2

Mechanics9.1

Opening Duels5.1

Win Impact7.2

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time622ms+20ms

first ⅓ avg 602ms → last ⅓ avg 622ms

Headshot accuracy29.9%+2.2%

first ⅓ avg 27.7% → last ⅓ avg 29.9%

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

0.16Best rating — ancient 13–8

13–0Biggest win — ancient

8Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 73% over 22infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.03
mirage	S	22	16–6	73%	0.03
ancient	S	21	14–7	67%	0.04
inferno	C	10	4–6	40%	0.02
cache	C	9	4–5	44%	0.05
anubis	A	8	5–3	63%	0.05
nuke	—	2	1–1	50%	0.00
vertigo	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

598,215Lifetime kills

1.13K/D · Top 50% of Level 10 players

20,187Matches

64.9%Match win rate · Top 5% of Level 10 players

65.2%Headshot % · Top 10% of Level 10 players

15.7%Shot accuracy · Top 50% of Level 10 players

48,286MVPs

19,392Hours (in match)

11,240Bombs planted

4,321Bombs defused

Most-used weapons

AK-47286,780

M4A4 / M4A1-S108,091

P2000 / USP-S43,025

AWP40,463

Desert Eagle31,060

Glock-1813,330

P25013,081

FAMAS7,274

UMP-456,796

Knife5,992

Lifetime map wins

29,006inferno

22,119dust2

13,247train

8,621nuke

8,474cbble

2,743vertigo

195office

195lake

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

Faceit stats

Combat

4,087Matches

70%Win rate

1.42Avg K/D

82.5ADR

57%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

56Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	217	55%	1.10	16.4
Ancient	141	58%	1.09	15.8
Anubis	94	52%	1.03	15.3
Dust2	55	60%	1.11	15.2
Inferno	45	53%	1.12	17.2
Vertigo	31	74%	1.01	16.0
Nuke	14	64%	1.10	17.9
Overpass	5	40%	0.88	15.6

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.

30.7%Headshot accuracy

32.5%Accuracy (enemy spotted)

34.2%Spray accuracy

91.0%Counter-strafing

8.4°Preaim

621msReaction time

45.0%T opening success

55.6%CT opening success

0.61Enemies flashed / flash

13.1%Flash assists

9.16HE damage / grenade

13.02Flashes / match

Recommended for you

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.

40% win rate across 10 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
inferno	13–2	0.05	38%	11 Aug →
dust2	13–2	-0.02	16%	8 Aug →
dust2	13–4	0.13	38%	8 Aug →
inferno	4–13	-0.07	22%	4 Aug →
ancient	13–4	0.11	37%	4 Aug →
mirage	11–13	0.01	41%	4 Aug →
ancient	13–10	0.07	21%	4 Aug →
cache	8–13	0.07	19%	4 Aug →
mirage	13–5	0.02	17%	4 Aug →
dust2	13–11	0.08	35%	4 Aug →
mirage	13–7	0.01	12%	3 Aug →
ancient	11–13	-0.02	30%	3 Aug →
mirage	13–9	-0.05	21%	29 Jul →
dust2	9–13	0.02	43%	29 Jul →
inferno	13–5	-0.01	33%	29 Jul →
dust2	7–13	-0.02	29%	29 Jul →
ancient	13–3	0.01	24%	29 Jul →
inferno	8–13	-0.07	34%	29 Jul →
inferno	9–13	0.04	39%	27 Jul →
anubis	5–13	-0.05	29%	27 Jul →
anubis	13–7	0.06	28%	27 Jul →
dust2	13–5	0.14	43%	27 Jul →
inferno	13–8	0.16	39%	27 Jul →
cache	7–13	0.02	29%	27 Jul →
ancient	8–13	0.04	29%	27 Jul →
anubis	13–9	0.03	21%	27 Jul →
dust2	9–13	-0.07	33%	27 Jul →
dust2	13–10	0.08	41%	20 Jul →
ancient	13–8	0.16	38%	20 Jul →
ancient	7–13	0.15	37%	20 Jul →
dust2	5–13	0.04	19%	20 Jul →
dust2	3–13	-0.06	23%	20 Jul →
mirage	13–7	0.04	29%	20 Jul →
ancient	13–7	0.09	40%	20 Jul →
mirage	13–3	0.01	22%	20 Jul →
ancient	13–9	0.03	25%	20 Jul →
dust2	13–2	0.03	35%	20 Jul →
ancient	3–13	-0.01	27%	20 Jul →
mirage	13–7	0.03	26%	20 Jul →
dust2	9–13	0.00	33%	19 Jul →
cache	13–7	0.14	28%	19 Jul →
inferno	10–13	-0.03	32%	19 Jul →
ancient	13–5	-0.07	24%	19 Jul →
mirage	13–10	-0.01	30%	19 Jul →
mirage	13–11	0.02	36%	19 Jul →
cache	13–6	0.13	45%	18 Jul →
mirage	13–16	-0.00	25%	18 Jul →
ancient	7–13	0.03	20%	18 Jul →
dust2	13–3	0.16	42%	18 Jul →
cache	14–16	-0.01	26%	18 Jul →
mirage	13–11	-0.02	21%	18 Jul →
dust2	13–2	0.05	25%	17 Jul →
nuke	13–7	0.03	36%	17 Jul →
mirage	3–13	0.07	46%	17 Jul →
dust2	11–13	-0.05	34%	14 Jul →
anubis	13–9	0.05	33%	13 Jul →
cache	13–8	0.03	31%	12 Jul →
ancient	6–13	0.02	38%	12 Jul →
dust2	12–12	0.04	30%	12 Jul →
inferno	13–8	0.08	38%	12 Jul →
dust2	5–13	0.09	41%	6 Jul →
dust2	12–12	0.02	32%	6 Jul →
dust2	13–9	-0.02	20%	6 Jul →
mirage	13–8	0.10	31%	30 Jun →
dust2	5–13	-0.01	26%	30 Jun →
anubis	10–13	0.05	32%	30 Jun →
ancient	13–9	-0.01	24%	30 Jun →
dust2	5–1	-0.05	9%	30 Jun →
ancient	4–13	-0.07	27%	30 Jun →
ancient	13–0	-0.00	20%	30 Jun →
anubis	13–4	0.15	32%	30 Jun →
mirage	13–4	0.09	20%	30 Jun →
anubis	11–13	0.03	37%	29 Jun →
dust2	8–13	0.04	34%	29 Jun →
ancient	13–8	0.10	16%	29 Jun →
mirage	13–7	0.16	24%	29 Jun →
mirage	13–8	-0.00	18%	29 Jun →
mirage	13–11	0.05	31%	28 Jun →
mirage	8–13	-0.01	27%	28 Jun →
inferno	14–16	0.05	31%	27 Jun →
mirage	8–13	-0.00	15%	27 Jun →
mirage	3–13	0.15	36%	26 Jun →
dust2	16–14	0.04	18%	26 Jun →
ancient	13–11	0.10	25%	26 Jun →
ancient	13–5	0.03	25%	26 Jun →
mirage	13–3	0.05	35%	26 Jun →
ancient	13–3	0.14	25%	26 Jun →
mirage	13–11	0.01	27%	26 Jun →
dust2	13–1	-0.06	21%	26 Jun →
ancient	13–8	-0.02	46%	24 Jun →
inferno	6–13	0.01	27%	23 Jun →
cache	10–13	0.06	29%	23 Jun →
cache	13–9	0.03	36%	23 Jun →
anubis	13–1	0.07	26%	23 Jun →
nuke	10–13	-0.02	32%	23 Jun →
dust2	13–4	0.04	31%	23 Jun →
vertigo	13–5	0.06	31%	23 Jun →
cache	12–12	-0.01	26%	23 Jun →
dust2	9–13	0.02	42%	23 Jun →
dust2	10–13	0.07	34%	16 Jun →