tekkister — CS2 Stats

76561198350194227[U:1:389928499]

4,414Tracked matches53%Win rate2020Tracked since

7,493Hours in CS

CSDB Rating7.2 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim90

Positioning66

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWLWLLWWLLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim9.0

Aggression9.5

Utility5.5

Positioning6.6

Opening Duels4.4

Clutch4.2

Sharp aimerStrong CT-side opener

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 device 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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 60% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.6

Utility5.5

Mechanics7.9

Opening Duels4.4

Win Impact6.1

Composite 7.2/10 (Strong), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time540ms+2ms

first ⅓ avg 538ms → last ⅓ avg 540ms

Headshot accuracy24.9%−0.9%

first ⅓ avg 25.8% → last ⅓ avg 24.9%

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

0.24Best rating — nuke 9–1

13–1Biggest win — dust2

9Longest win streak

12–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 63% over 19nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	0.02
ancient	A	22	13–9	59%	0.02
mirage	A	19	12–7	63%	0.04
cache	B	12	6–6	50%	0.05
nuke	D	10	3–7	30%	0.04
anubis	A	7	4–3	57%	0.01
inferno	—	2	2–0	100%	0.06
overpass	—	2	2–0	100%	0.09
eldorado	—	1	1–0	100%	0.16
debris	—	1	0–1	0%	-0.08
alpine	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

580,113Lifetime kills

1.90K/D · Top 5% of tracked players

12,834Matches

38.4%Match win rate

65.8%Headshot % · Top 5% of tracked players

15.1%Shot accuracy · Top 50% of tracked players

42,984MVPs

7,493Hours (in match)

9,172Bombs planted

3,389Bombs defused

Most-used weapons

AK-47253,604

M4A4 / M4A1-S96,693

AWP68,892

Desert Eagle63,146

P2000 / USP-S33,989

Glock-189,184

Knife5,455

SSG 085,067

P2504,778

Galil AR3,987

Lifetime map wins

17,138nuke

10,335dust2

10,239vertigo

5,399cbble

3,883inferno

2,265train

1,076office

796italy

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

Faceit stats

Combat

2,720Matches

52%Win rate

1.39Avg K/D

84.8ADR

47%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	249	55%	1.40	18.7
Ancient	231	50%	1.26	17.2
Nuke	205	53%	1.50	19.1
Mirage	131	44%	1.24	17.4
Dust2	119	47%	1.35	18.4
Vertigo	99	49%	1.29	19.0
Overpass	65	58%	1.59	19.3
Cache	11	27%	1.56	19.0

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.

25.6%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.2%Spray accuracy

85.5%Counter-strafing

8.6°Preaim

544msReaction time

35.4%T opening success

60.0%CT opening success

0.50Enemies flashed / flash

9.2%Flash assists

9.77HE damage / grenade

12.53Flashes / 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 0.4974 — 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 35.3934% — below the 40% mark we flag

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	9–7	0.07	20%	22 Aug →
dust2	10–13	0.02	32%	8 Aug →
mirage	13–11	0.13	38%	6 Aug →
cache	6–13	0.04	17%	6 Aug →
nuke	8–13	0.04	23%	6 Aug →
mirage	13–6	-0.00	35%	5 Aug →
eldorado	9–6	0.16	35%	25 Jul →
debris	4–9	-0.08	31%	25 Jul →
cache	9–13	0.00	28%	24 Jul →
inferno	13–9	0.04	41%	18 Jul →
nuke	16–13	0.09	46%	17 Jul →
mirage	13–5	0.10	25%	17 Jul →
ancient	13–11	0.07	22%	11 Jul →
anubis	6–13	-0.03	12%	7 Jul →
ancient	13–4	-0.00	20%	7 Jul →
cache	10–13	0.08	26%	6 Jul →
mirage	8–13	-0.00	33%	6 Jul →
dust2	13–11	0.03	35%	6 Jul →
dust2	13–9	0.07	22%	22 Jun →
ancient	2–13	0.00	29%	22 Jun →
mirage	2–13	-0.02	21%	22 Jun →
dust2	6–13	0.10	16%	21 Jun →
nuke	8–13	0.03	13%	15 Jun →
anubis	16–14	0.05	33%	15 Jun →
mirage	10–13	0.00	29%	9 Jun →
ancient	13–4	0.11	25%	9 Jun →
mirage	8–13	-0.02	32%	7 Jun →
dust2	13–1	0.02	15%	7 Jun →
cache	13–11	0.06	26%	30 May →
nuke	0–13	-0.07	0%	30 May →
ancient	13–9	-0.04	17%	29 May →
ancient	13–4	-0.06	7%	29 May →
ancient	16–14	0.01	17%	26 May →
dust2	13–11	0.06	22%	26 May →
ancient	13–11	0.03	20%	15 May →
mirage	13–6	0.07	73%	15 May →
nuke	9–1	0.24	28%	15 May →
mirage	13–1	0.02	20%	13 May →
mirage	13–11	0.07	15%	10 May →
dust2	15–15	0.03	32%	10 May →
cache	9–13	0.10	25%	8 May →
cache	13–7	0.03	30%	3 May →
dust2	1–5	-0.01	63%	3 May →
cache	12–12	0.07	26%	3 May →
cache	13–5	0.06	22%	1 May →
dust2	13–5	0.03	23%	1 May →
mirage	13–6	0.09	49%	1 May →
alpine	13–1	0.07	15%	1 May →
mirage	13–4	0.17	23%	1 May →
anubis	13–8	-0.01	15%	1 May →
cache	13–1	0.07	52%	1 May →
cache	5–13	0.01	63%	30 Apr →
cache	13–7	0.12	34%	30 Apr →
nuke	8–13	-0.01	23%	28 Apr →
dust2	4–13	-0.05	40%	26 Apr →
dust2	13–11	-0.02	36%	26 Apr →
dust2	12–3	-0.00	26%	26 Apr →
anubis	13–7	0.04	13%	26 Apr →
mirage	9–13	-0.01	30%	26 Apr →
mirage	13–8	0.01	38%	26 Apr →
ancient	11–13	-0.01	22%	26 Apr →
dust2	13–3	0.12	22%	26 Apr →
ancient	13–8	-0.03	24%	25 Apr →
mirage	13–8	0.02	47%	25 Apr →
ancient	16–14	0.01	18%	22 Apr →
dust2	10–13	-0.01	30%	22 Apr →
mirage	13–5	0.10	40%	22 Apr →
overpass	13–9	0.07	17%	17 Apr →
ancient	9–13	0.02	18%	16 Apr →
nuke	8–13	0.05	26%	16 Apr →
dust2	1–13	-0.10	40%	16 Apr →
anubis	3–13	-0.03	29%	16 Apr →
ancient	7–13	-0.04	26%	14 Apr →
cache	13–4	-0.00	35%	12 Apr →
dust2	13–3	0.09	29%	11 Apr →
ancient	6–13	0.06	23%	10 Apr →
nuke	5–13	0.00	24%	6 Apr →
mirage	11–13	0.05	34%	5 Apr →
dust2	13–16	0.01	33%	5 Apr →
ancient	13–9	-0.03	24%	5 Apr →
dust2	13–10	0.02	31%	5 Apr →
dust2	12–16	-0.01	16%	4 Apr →
dust2	13–4	0.05	26%	3 Apr →
nuke	13–7	0.01	28%	3 Apr →
dust2	14–16	0.07	22%	28 Mar →
nuke	8–13	0.01	20%	28 Mar →
ancient	13–8	0.02	28%	28 Mar →
dust2	13–5	-0.01	21%	26 Mar →
ancient	13–3	0.22	16%	26 Mar →
dust2	7–13	0.05	41%	25 Mar →
ancient	11–13	0.07	30%	25 Mar →
ancient	13–8	0.00	13%	24 Mar →
ancient	11–13	0.01	25%	24 Mar →
mirage	9–13	0.02	40%	22 Mar →
overpass	13–9	0.11	26%	22 Mar →
ancient	4–13	0.02	36%	21 Mar →
ancient	13–16	0.05	14%	18 Mar →
anubis	13–5	0.04	30%	18 Mar →
anubis	5–13	0.03	17%	18 Mar →
mirage	13–3	0.06	13%	18 Mar →