teukhaa — CS2 Stats

FI76561198086918510[U:1:126652782]Steam profile ↗✓ No bans

2,372Tracked matches60%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating23,709Top 25% of 44,590 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)

CSDB Leaderboard#10646 of 59318 tracked

FaceitLevel 10 · 2,355 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning54

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateLWLLWLWWLL

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

Player DNA

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

Aim7.7

Aggression7.1

Utility5.7

Positioning5.4

Opening Duels2.1

Clutch3.8

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 b1t 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

Reaction time. 578ms 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

Aim7.7

Positioning5.4

Utility5.7

Mechanics6.6

Opening Duels2.1

Win Impact8.3

Composite 6.4/10 (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 rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time580ms−57ms

first ⅓ avg 637ms → last ⅓ avg 580ms

Headshot accuracy18.4%+1.7%

first ⅓ avg 16.8% → last ⅓ avg 18.4%

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

0.19Best rating — boulder 13–4

13–1Biggest win — dust2

9Longest win streak

5–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	0.03
mirage	A	16	10–6	63%	-0.01
cache	A	12	7–5	58%	0.04
anubis	S	11	8–3	73%	0.05
ancient	D	10	2–8	20%	-0.01
nuke	C	9	4–5	44%	-0.01
fachwerk	S	6	4–2	67%	0.05
inferno	S	6	4–2	67%	0.04
overpass	—	4	4–0	100%	0.06
vertigo	—	2	2–0	100%	0.08
boulder	—	1	1–0	100%	0.19

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,539Matches

51%Win rate

1.10Avg K/D

75.9ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	140	47%	1.02	14.0
Anubis	119	65%	1.09	15.3
Nuke	105	53%	1.11	15.3
Mirage	74	35%	0.86	13.0
Vertigo	67	54%	1.06	13.4
Dust2	67	61%	1.22	16.6
Inferno	30	47%	1.13	15.4
Overpass	16	50%	1.09	16.2

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.

18.2%Headshot accuracy

37.4%Accuracy (enemy spotted)

39.5%Spray accuracy

79.6%Counter-strafing

9.5°Preaim

578msReaction time

33.5%T opening success

43.6%CT opening success

0.44Enemies flashed / flash

6.5%Flash assists

10.06HE damage / grenade

8.72Flashes / 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 0.4361 — 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 33.4987% — 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.

20% win rate across 10 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	4–8	0.17	25%	29 Aug →
mirage	13–9	-0.03	15%	21 Aug →
mirage	11–13	-0.05	18%	19 Aug →
dust2	10–13	-0.08	11%	15 Aug →
mirage	5–0	0.06	18%	10 Aug →
dust2	7–13	0.03	22%	9 Aug →
dust2	13–1	0.08	11%	9 Aug →
dust2	13–7	0.01	19%	7 Aug →
dust2	6–13	-0.02	21%	7 Aug →
ancient	11–13	-0.02	13%	7 Aug →
overpass	13–5	0.08	21%	28 Jul →
anubis	8–13	0.10	14%	28 Jul →
cache	9–0	0.09	14%	28 Jul →
fachwerk	13–11	0.07	22%	28 Jul →
vertigo	13–3	0.10	25%	27 Jul →
overpass	13–1	0.10	9%	23 Jul →
ancient	9–13	0.00	14%	23 Jul →
ancient	3–13	-0.05	20%	21 Jul →
cache	8–13	-0.06	3%	21 Jul →
fachwerk	13–8	0.04	24%	21 Jul →
cache	13–10	0.01	21%	21 Jul →
fachwerk	13–3	0.07	22%	20 Jul →
boulder	13–4	0.19	25%	20 Jul →
fachwerk	7–0	0.12	38%	20 Jul →
anubis	11–1	0.16	23%	20 Jul →
dust2	16–14	0.06	22%	19 Jul →
inferno	10–13	0.02	21%	19 Jul →
nuke	7–13	-0.00	16%	19 Jul →
inferno	16–14	0.07	23%	18 Jul →
cache	13–8	0.03	7%	18 Jul →
dust2	13–8	0.06	13%	16 Jul →
anubis	10–13	0.10	15%	16 Jul →
cache	8–13	0.08	23%	15 Jul →
fachwerk	9–13	0.03	28%	15 Jul →
fachwerk	10–13	-0.03	24%	13 Jul →
inferno	13–5	0.00	16%	11 Jul →
ancient	12–16	-0.02	17%	5 Jul →
nuke	13–10	-0.01	16%	5 Jul →
overpass	13–8	0.03	13%	5 Jul →
ancient	13–3	0.03	16%	3 Jul →
dust2	3–13	-0.03	18%	26 Jun →
mirage	13–9	0.03	18%	24 Jun →
dust2	8–13	0.05	25%	24 Jun →
nuke	9–13	-0.07	29%	24 Jun →
cache	13–4	0.05	8%	16 Jun →
mirage	13–9	-0.08	14%	14 Jun →
dust2	13–10	0.11	18%	10 Jun →
ancient	4–13	-0.00	22%	6 Jun →
dust2	13–10	0.01	24%	4 Jun →
ancient	0–2	0.00	0%	2 Jun →
anubis	13–10	0.04	12%	31 May →
cache	13–9	0.04	22%	30 May →
cache	11–3	0.14	18%	24 May →
nuke	12–16	-0.06	14%	22 May →
anubis	13–1	0.00	58%	17 May →
dust2	6–13	0.01	22%	13 May →
mirage	13–11	0.01	34%	13 May →
cache	10–13	0.05	16%	12 May →
cache	13–7	-0.00	25%	12 May →
dust2	13–9	0.05	8%	12 May →
cache	12–12	0.03	10%	11 May →
cache	12–12	0.02	20%	11 May →
anubis	9–13	0.03	22%	25 Apr →
ancient	1–13	-0.05	17%	23 Apr →
mirage	8–13	0.03	20%	23 Apr →
nuke	5–13	-0.07	35%	21 Apr →
ancient	3–13	0.00	17%	21 Apr →
dust2	16–13	-0.00	26%	21 Apr →
mirage	11–13	-0.02	21%	21 Apr →
anubis	13–9	-0.02	12%	18 Apr →
anubis	13–2	0.00	6%	17 Apr →
mirage	6–13	0.02	26%	17 Apr →
vertigo	13–9	0.06	19%	16 Apr →
inferno	4–13	0.02	18%	16 Apr →
overpass	13–3	0.04	23%	13 Apr →
dust2	13–16	-0.01	9%	8 Apr →
anubis	13–9	0.08	22%	8 Apr →
ancient	13–6	-0.00	22%	6 Apr →
nuke	9–13	0.08	17%	3 Apr →
mirage	13–2	-0.03	14%	2 Apr →
nuke	13–5	0.01	17%	2 Apr →
anubis	13–9	-0.02	21%	2 Apr →
nuke	13–9	0.02	15%	2 Apr →
dust2	13–7	0.08	13%	1 Apr →
inferno	13–3	0.05	20%	1 Apr →
mirage	13–8	0.05	14%	31 Mar →
nuke	13–8	-0.02	20%	31 Mar →
dust2	13–1	0.08	11%	31 Mar →
mirage	3–13	-0.05	14%	30 Mar →
dust2	13–5	0.05	9%	30 Mar →
inferno	13–8	0.09	19%	27 Mar →
dust2	13–9	0.02	11%	27 Mar →
anubis	13–7	0.05	15%	27 Mar →
dust2	13–8	0.02	18%	19 Mar →
mirage	13–11	-0.00	15%	17 Mar →
dust2	10–13	-0.02	29%	17 Mar →
dust2	13–1	0.05	29%	12 Mar →
mirage	6–13	-0.06	12%	11 Mar →
mirage	13–10	0.01	5%	10 Mar →
mirage	13–10	-0.01	11%	10 Mar →