Teamspeakuser — CS2 Stats

76561198186332425[U:1:226066697]Steam profile ↗VAC banned

1,718Tracked matches29%Win rate2020Tracked since

CSDB Rating3.6 Learning

FaceitLevel 7 · 1,367 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41–55–3Last 9941%Win rateLLWWLLWWLL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.2

Aggression4.9

Utility4.8

Positioning4.8

Opening Duels1.3

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 NiKo 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 710ms 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

Aim4.2

Positioning4.8

Utility4.8

Mechanics6.0

Opening Duels1.3

Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time726ms+77ms

first ⅓ avg 650ms → last ⅓ avg 726ms

Headshot accuracy23.3%+0.0%

first ⅓ avg 23.3% → last ⅓ avg 23.3%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — mirage 13–4

13–0Biggest win — nuke

6Longest win streak

L2Current streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 52% over 21infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	16–17	48%	-0.00
nuke	B	21	11–10	52%	-0.01
overpass	C	9	4–5	44%	0.02
ancient	D	9	2–7	22%	-0.00
inferno	D	8	1–7	13%	-0.02
dust2	C	7	3–4	43%	-0.03
anubis	D	7	2–5	29%	-0.02
train	—	3	2–1	67%	-0.02
cache	—	1	0–1	0%	0.01
vertigo	—	1	0–1	0%	-0.01

Across the last 99 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,017Matches

50%Win rate

0.92Avg K/D

66.9ADR

50%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	376	58%	0.92	13.4
Vertigo	108	51%	0.85	13.7
Nuke	105	54%	0.82	13.2
Ancient	80	36%	0.86	13.7
Anubis	65	25%	0.69	11.6
Inferno	41	29%	0.74	12.9
Train	37	49%	0.78	13.2
Dust2	30	37%	0.72	12.1

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.

23.6%Headshot accuracy

28.6%Accuracy (enemy spotted)

28.1%Spray accuracy

77.0%Counter-strafing

11.4°Preaim

710msReaction time

36.8%T opening success

33.4%CT opening success

0.53Enemies flashed / flash

6.6%Flash assists

7.76HE damage / grenade

6.56Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 709.803ms — above the 700ms mark we flag
Aim Training →
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 36.8475% — below the 40% mark we flag

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.

13% win rate across 8 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
mirage	5–13	-0.04	17%	23 Aug →
mirage	8–13	-0.03	35%	23 Aug →
dust2	13–5	0.05	22%	18 Jul →
mirage	13–9	0.10	17%	18 Jul →
anubis	5–13	-0.10	18%	18 Jul →
cache	7–13	0.01	36%	18 Jul →
dust2	13–5	-0.03	20%	31 May →
overpass	13–3	0.03	23%	31 May →
mirage	8–13	-0.01	18%	23 May →
overpass	3–13	-0.02	12%	22 May →
inferno	7–13	0.03	31%	22 May →
ancient	8–13	-0.03	26%	8 May →
nuke	10–13	-0.01	29%	29 Apr →
ancient	13–7	0.04	25%	25 Apr →
nuke	15–15	-0.02	20%	25 Apr →
overpass	13–11	0.05	28%	25 Apr →
nuke	9–13	0.02	43%	25 Apr →
dust2	1–13	-0.02	24%	25 Apr →
mirage	11–13	-0.05	28%	25 Apr →
inferno	9–7	0.05	22%	25 Apr →
mirage	15–15	0.02	22%	11 Apr →
inferno	5–13	-0.02	11%	11 Apr →
mirage	13–5	0.06	27%	11 Apr →
anubis	11–13	0.00	9%	4 Apr →
nuke	5–13	-0.03	11%	3 Apr →
dust2	13–4	-0.03	24%	3 Apr →
overpass	14–16	0.02	27%	3 Apr →
nuke	2–13	-0.04	21%	3 Apr →
ancient	7–13	0.04	22%	3 Apr →
dust2	0–13	-0.13	33%	3 Apr →
overpass	2–13	-0.02	28%	3 Apr →
overpass	9–13	-0.03	18%	3 Apr →
inferno	6–13	-0.02	23%	3 Apr →
mirage	13–8	0.06	14%	3 Apr →
mirage	13–11	0.03	27%	31 Mar →
nuke	13–8	0.02	21%	31 Mar →
mirage	10–13	-0.06	12%	31 Mar →
inferno	4–13	-0.12	8%	30 Mar →
mirage	13–11	0.07	23%	30 Mar →
anubis	13–7	-0.07	23%	26 Mar →
mirage	15–15	-0.05	18%	26 Mar →
anubis	4–13	0.01	10%	26 Mar →
mirage	5–13	-0.09	10%	26 Mar →
mirage	9–13	-0.04	31%	12 Mar →
mirage	13–9	-0.03	23%	9 Mar →
ancient	8–13	-0.01	23%	8 Mar →
mirage	13–11	-0.04	27%	8 Mar →
inferno	9–13	-0.05	31%	8 Mar →
nuke	9–13	-0.05	20%	5 Mar →
ancient	2–13	-0.05	25%	5 Mar →
inferno	10–13	-0.06	10%	5 Mar →
mirage	13–9	0.01	40%	3 Mar →
nuke	13–4	-0.02	24%	3 Mar →
mirage	13–4	0.10	31%	3 Mar →
nuke	13–8	-0.08	15%	3 Mar →
mirage	13–6	-0.03	22%	24 Feb →
nuke	7–13	-0.03	24%	10 Feb →
ancient	5–12	0.03	24%	10 Jan →
nuke	13–6	-0.06	29%	9 Jan →
ancient	2–13	-0.05	40%	5 Jan →
dust2	9–13	-0.08	18%	16 Dec →
train	11–13	-0.06	21%	16 Dec →
nuke	13–3	0.00	32%	16 Dec →
mirage	9–13	-0.00	17%	15 Dec →
mirage	13–2	-0.01	24%	15 Dec →
nuke	13–0	0.07	25%	14 Dec →
anubis	13–9	0.07	29%	14 Dec →
nuke	10–13	-0.04	25%	13 Dec →
vertigo	8–12	-0.01	20%	12 Dec →
mirage	11–13	0.04	17%	12 Dec →
overpass	13–11	0.10	30%	2 Dec →
ancient	13–10	0.05	30%	29 Nov →
mirage	5–13	-0.05	13%	24 Nov →
mirage	11–13	0.00	26%	23 Nov →
nuke	13–8	0.07	15%	22 Nov →
overpass	13–4	0.05	22%	22 Nov →
mirage	2–13	0.06	32%	9 Nov →
nuke	6–13	0.04	22%	9 Nov →
overpass	10–13	0.04	31%	8 Nov →
inferno	9–13	-0.00	24%	8 Nov →
mirage	12–16	-0.00	21%	7 Nov →
dust2	8–13	0.01	29%	6 Nov →
nuke	13–7	-0.06	27%	2 Nov →
mirage	5–13	-0.09	17%	2 Nov →
nuke	13–1	-0.03	17%	25 Oct →
mirage	13–2	0.07	11%	25 Oct →
train	13–10	-0.01	20%	25 Oct →
mirage	13–3	-0.01	12%	15 Oct →
train	13–10	0.02	40%	29 Apr →
nuke	13–7	0.07	37%	15 Apr →
anubis	12–16	0.01	22%	13 Apr →
nuke	10–13	-0.01	32%	24 Feb →
mirage	13–11	-0.03	18%	24 Feb →
anubis	10–13	-0.09	21%	24 Feb →
mirage	13–11	-0.00	17%	28 Jan →
mirage	13–10	-0.11	23%	20 Jan →
nuke	13–8	0.01	19%	19 Jan →
ancient	4–12	-0.02	16%	4 Jan →
mirage	8–13	0.00	34%	4 Jan →