T![GeR].eXe🌀 — CS2 Stats

76561197979008321[U:1:18742593]Steam profile ↗✓ No bans

1,686Tracked matches57%Win rate2020Tracked since

CSDB Rating6.8 SolidSupport

Premier CS Rating25,775Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#14917 of 259194 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,686 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,775 +6,590 15 Jun – 24 Oct · 32 days played

25,775Peak Premier in tracked matches

35Days played since 2026-06-15

Premier CS Rating

At peak — 25,775
+1,433 over 30 days · improving
+5,836 over 90 days
Next: Gold band at 30,000 — 4,225 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-10-19
Pink band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim71

Positioning61

Utility62

0–100 skill scores via Leetify.

Recent form

HOT55–37–8Last 10055%Win rateWWWLWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +5.8pp headshot accuracy · −60ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 508ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 19%
Avg reaction 520ms

Last 20

13–7 · 65% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 551ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.1

Utility6.2

Positioning6.1

Opening Duels4.3

Clutch4.4

Strong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim7.1

Positioning6.1

Utility6.2

Mechanics7.0

Opening Duels4.1

Win Impact7.4

Composite 6.8/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time552ms−57ms

first ⅓ avg 609ms → last ⅓ avg 552ms

Headshot accuracy15.4%−1.4%

first ⅓ avg 16.8% → last ⅓ avg 15.4%

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.

Personal bests

0.18Best match rating · 13–1 · anubis, 3 Aug →

40%Best headshot accuracy · 8–4 · rush_001, 8 Oct →

406msFastest reaction time · 13–3 · inferno, 11 Sept →

13–0Biggest win · inferno, 17 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

5–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

rush_001Best map · 80% over 5ancientWeakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	0.00
ancient	C	21	8–13	38%	0.02
inferno	A	18	10–8	56%	0.01
anubis	B	17	9–8	53%	0.01
cache	S	10	7–3	70%	-0.01
rush_001	S	5	4–1	80%	0.07
dust2	—	4	2–2	50%	-0.04
overpass	—	2	2–0	100%	0.01
nuke	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

124Matches

54%Win rate

1.19Avg K/D

81.4ADR

36%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	44%	1.09	15.8
Inferno	25	64%	1.41	14.8
Anubis	18	50%	1.11	16.2
Ancient	17	59%	1.06	16.1
Dust2	8	62%	1.37	17.1
Vertigo	3	33%	0.95	19.0
Nuke	1	100%	1.83	22.0

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.

14.0%Headshot accuracy

35.4%Accuracy (enemy spotted)

37.2%Spray accuracy

81.5%Counter-strafing

9.4°Preaim

559msReaction time

36.1%T opening success

56.9%CT opening success

0.66Enemies flashed / flash

8.6%Flash assists

11.72HE damage / grenade

4.03Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0311% — below the 15% 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 36.0924% — 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.

38% win rate across 21 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
mirage	13–9	-0.03	10%	16 Oct →
rush_001	8–6	0.06	19%	8 Oct →
rush_001	4–0	0.05	7%	8 Oct →
rush_001	0–4	-0.05	25%	8 Oct →
rush_001	5–1	0.15	31%	8 Oct →
rush_001	8–4	0.13	40%	8 Oct →
anubis	13–6	0.01	19%	5 Oct →
anubis	10–13	-0.01	11%	5 Oct →
cache	13–8	0.01	16%	28 Sept →
inferno	13–9	0.02	12%	28 Sept →
inferno	13–6	0.06	10%	28 Sept →
inferno	16–13	-0.04	15%	11 Sept →
ancient	13–6	0.09	15%	11 Sept →
inferno	13–3	0.05	10%	11 Sept →
inferno	11–13	-0.03	16%	9 Sept →
cache	13–6	0.02	18%	9 Sept →
cache	10–13	-0.05	17%	9 Sept →
anubis	8–13	-0.03	11%	9 Sept →
ancient	4–13	-0.08	8%	7 Sept →
inferno	11–13	-0.02	13%	7 Sept →
ancient	8–13	-0.01	17%	7 Sept →
ancient	11–13	-0.03	8%	4 Sept →
mirage	13–9	-0.03	13%	4 Sept →
anubis	13–8	0.00	16%	4 Sept →
ancient	13–6	0.03	11%	4 Sept →
cache	13–6	-0.06	13%	2 Sept →
ancient	15–15	-0.01	14%	2 Sept →
anubis	13–8	0.03	12%	30 Aug →
ancient	3–13	0.02	13%	30 Aug →
inferno	13–7	0.11	18%	26 Aug →
ancient	9–13	0.00	17%	26 Aug →
inferno	15–15	0.04	17%	26 Aug →
mirage	7–13	-0.06	19%	23 Aug →
mirage	7–0	0.14	13%	23 Aug →
inferno	7–13	-0.04	17%	23 Aug →
mirage	0–13	-0.00	15%	23 Aug →
mirage	11–13	0.01	8%	17 Aug →
anubis	13–9	-0.03	17%	17 Aug →
inferno	13–0	0.02	11%	17 Aug →
mirage	13–8	-0.01	19%	13 Aug →
ancient	13–9	0.01	20%	13 Aug →
ancient	16–14	0.04	20%	13 Aug →
mirage	13–6	0.07	7%	12 Aug →
cache	13–11	0.03	18%	12 Aug →
anubis	15–15	-0.00	11%	12 Aug →
mirage	13–11	0.03	24%	10 Aug →
dust2	16–13	-0.01	16%	7 Aug →
inferno	15–15	0.03	20%	7 Aug →
inferno	13–4	0.02	36%	6 Aug →
mirage	15–15	0.04	16%	6 Aug →
inferno	13–2	0.02	8%	6 Aug →
mirage	9–13	0.01	15%	6 Aug →
anubis	9–13	-0.02	7%	4 Aug →
ancient	16–12	0.04	10%	4 Aug →
anubis	13–1	0.18	18%	3 Aug →
inferno	8–13	-0.04	10%	3 Aug →
cache	13–3	0.00	7%	3 Aug →
cache	11–13	0.02	18%	23 Jul →
cache	13–7	-0.01	11%	23 Jul →
anubis	12–16	-0.00	12%	22 Jul →
mirage	13–8	-0.05	16%	22 Jul →
mirage	15–15	0.01	15%	20 Jul →
dust2	9–13	-0.07	11%	20 Jul →
anubis	3–13	-0.08	12%	17 Jul →
mirage	13–8	0.02	12%	17 Jul →
ancient	13–6	0.06	11%	17 Jul →
cache	12–16	-0.09	16%	13 Jul →
mirage	11–13	-0.03	17%	13 Jul →
ancient	6–13	0.04	13%	13 Jul →
cache	13–4	0.04	30%	13 Jul →
anubis	9–13	-0.01	23%	11 Jul →
inferno	13–2	0.05	21%	11 Jul →
ancient	5–13	-0.05	6%	11 Jul →
ancient	10–13	0.05	15%	10 Jul →
mirage	13–6	-0.01	35%	10 Jul →
mirage	13–6	0.03	20%	10 Jul →
ancient	10–13	0.08	13%	10 Jul →
anubis	13–3	0.02	11%	10 Jul →
anubis	11–13	0.01	16%	3 Jul →
dust2	13–10	0.00	24%	3 Jul →
mirage	10–13	-0.03	24%	3 Jul →
ancient	10–13	0.06	17%	3 Jul →
mirage	13–6	-0.01	25%	30 Jun →
overpass	13–6	-0.04	15%	30 Jun →
ancient	13–6	-0.01	11%	30 Jun →
anubis	13–11	-0.01	11%	28 Jun →
ancient	10–13	0.06	16%	28 Jun →
inferno	7–13	-0.02	9%	27 Jun →
nuke	13–9	0.05	17%	27 Jun →
ancient	7–13	-0.03	36%	27 Jun →
inferno	13–6	0.03	19%	27 Jun →
inferno	15–15	-0.02	5%	21 Jun →
mirage	5–13	-0.02	9%	21 Jun →
overpass	13–7	0.06	17%	19 Jun →
mirage	13–9	0.02	14%	19 Jun →
dust2	6–13	-0.09	12%	19 Jun →
ancient	13–9	0.04	11%	19 Jun →
mirage	15–15	0.00	18%	17 Jun →
anubis	16–12	0.07	16%	17 Jun →
anubis	13–7	-0.01	9%	15 Jun →