Twix — CS2 Stats

US76561198290356555[U:1:330090827]Steam profile ↗

4,124Tracked matches52%Win rate2020Tracked since

4,266Hours in CS8Hrs last 2 wks

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating18,187Purple band · top ~15.7% of ranked players (population est.)

CSDB Leaderboard#6438 of 11780 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Rating over time

18,187Peak Premier on CSDB

2,181Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 2,181
Next: 2,500 ELO at 2,500 — 319 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 18,187
Next: Pink band at 20,000 — 1,813 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median	vs Pink band
Headshot rate	43.3%	48.1%	4.8% short
Shot accuracy	10.9%	12.9%	2.0% short
Kill/death ratio	1.03	1.08	0.05 short
Match win rate	48.5%	46.5%	above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning60

Utility44

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateWWLLLLLLWT

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.8

Aggression7.8

Utility4.4

Positioning6.0

Opening Duels3.5

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 ropz 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 607ms 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

Aim6.8

Positioning6.0

Utility4.4

Mechanics6.3

Opening Duels3.5

Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time593ms−34ms

first ⅓ avg 627ms → last ⅓ avg 593ms

Headshot accuracy16.5%−0.8%

first ⅓ avg 17.3% → last ⅓ avg 16.5%

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 — inferno 3–7

13–1Biggest win — dust2

7Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	10–17	37%	0.00
dust2	B	21	10–11	48%	0.00
cache	B	20	9–11	45%	0.00
anubis	B	10	5–5	50%	0.00
ancient	S	9	6–3	67%	0.01
inferno	C	8	3–5	38%	0.01
nuke	—	2	1–1	50%	-0.02
train	—	2	0–2	0%	-0.01
overpass	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,472Lifetime kills

1.03K/D

5,395Matches

48.5%Match win rate · Top 50% of tracked players

43.3%Headshot %

10.9%Shot accuracy

15,936MVPs

2,488Hours (in match)

2,677Bombs planted

1,256Bombs defused

Most-used weapons

AK-4742,242

M4A4 / M4A1-S24,540

AWP9,198

Desert Eagle8,973

P2000 / USP-S7,134

Glock-185,219

Knife3,303

Galil AR2,835

MP92,376

FAMAS2,349

Lifetime map wins

9,931inferno

5,329dust2

4,392nuke

2,935vertigo

1,721train

433office

120cbble

93lake

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

Faceit stats

Combat

3,115Matches

50%Win rate

0.96Avg K/D

80.7ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	484	54%	0.96	15.7
Mirage	439	50%	0.94	15.7
Anubis	334	51%	0.99	15.3
Inferno	248	46%	0.98	15.7
Nuke	199	43%	0.92	15.3
Dust2	198	45%	0.88	14.5
Overpass	105	50%	1.05	14.9
Vertigo	96	44%	0.86	14.1

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.

17.7%Headshot accuracy

34.2%Accuracy (enemy spotted)

36.9%Spray accuracy

78.2%Counter-strafing

9.1°Preaim

607msReaction time

38.2%T opening success

49.6%CT opening success

0.68Enemies flashed / flash

4.5%Flash assists

5.94HE damage / grenade

6.83Flashes / 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.

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 38.1647% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–9	0.06	15%	17 Aug →
mirage	13–8	0.02	17%	5 Aug →
inferno	2–13	-0.11	8%	5 Aug →
nuke	7–13	-0.07	18%	3 Aug →
mirage	6–13	-0.04	26%	1 Aug →
mirage	7–13	-0.02	15%	29 Jul →
mirage	11–13	0.05	17%	28 Jul →
cache	14–16	0.01	19%	27 Jul →
ancient	13–7	0.05	6%	27 Jul →
dust2	15–15	-0.04	31%	27 Jul →
mirage	10–13	0.07	19%	26 Jul →
cache	16–14	0.00	21%	26 Jul →
anubis	8–13	0.04	23%	26 Jul →
dust2	11–13	-0.05	22%	25 Jul →
cache	13–5	0.00	16%	25 Jul →
mirage	13–11	0.01	9%	25 Jul →
inferno	13–9	0.05	14%	25 Jul →
mirage	11–13	-0.04	11%	25 Jul →
cache	7–13	0.03	17%	25 Jul →
dust2	13–7	-0.00	25%	24 Jul →
cache	9–13	-0.02	22%	24 Jul →
mirage	16–14	-0.06	21%	24 Jul →
mirage	13–10	-0.02	13%	23 Jul →
dust2	13–8	0.01	23%	23 Jul →
dust2	10–13	-0.08	10%	23 Jul →
cache	8–13	0.02	19%	23 Jul →
dust2	13–5	0.12	26%	23 Jul →
anubis	8–0	-0.02	6%	22 Jul →
dust2	2–0	-0.00	0%	22 Jul →
overpass	8–1	0.05	5%	22 Jul →
cache	1–10	-0.07	25%	21 Jul →
anubis	13–9	0.01	11%	21 Jul →
mirage	3–13	-0.02	16%	21 Jul →
anubis	9–13	0.00	12%	20 Jul →
cache	4–13	-0.01	26%	17 Jul →
dust2	13–11	0.05	24%	17 Jul →
inferno	13–7	0.01	17%	17 Jul →
cache	13–6	0.05	16%	17 Jul →
mirage	13–6	0.02	17%	17 Jul →
anubis	13–11	-0.02	12%	17 Jul →
cache	13–5	-0.01	17%	17 Jul →
ancient	13–4	0.06	19%	17 Jul →
dust2	10–13	0.03	23%	17 Jul →
mirage	4–13	-0.04	15%	17 Jul →
cache	13–9	0.08	24%	17 Jul →
dust2	10–13	-0.02	14%	16 Jul →
dust2	13–10	0.08	36%	16 Jul →
inferno	3–7	0.16	20%	16 Jul →
inferno	13–6	0.05	12%	16 Jul →
mirage	8–13	0.09	21%	16 Jul →
cache	13–2	-0.05	13%	15 Jul →
mirage	13–10	0.12	13%	15 Jul →
dust2	16–13	0.04	19%	15 Jul →
mirage	15–15	0.05	19%	13 Jul →
mirage	8–13	-0.01	22%	13 Jul →
ancient	13–5	0.03	22%	9 Jul →
cache	13–7	0.13	26%	9 Jul →
cache	8–13	-0.06	14%	9 Jul →
dust2	13–10	-0.02	18%	8 Jul →
cache	12–12	-0.08	16%	8 Jul →
dust2	13–16	-0.04	29%	7 Jul →
ancient	8–13	0.04	24%	7 Jul →
cache	13–8	0.05	16%	6 Jul →
ancient	15–19	-0.04	9%	6 Jul →
ancient	13–7	-0.00	12%	5 Jul →
anubis	13–7	-0.03	17%	4 Jul →
mirage	13–8	0.01	19%	4 Jul →
mirage	13–7	0.01	13%	3 Jul →
cache	9–13	0.00	18%	3 Jul →
anubis	13–4	0.04	19%	3 Jul →
mirage	13–10	0.04	14%	2 Jul →
mirage	9–13	0.00	17%	2 Jul →
dust2	8–13	0.01	34%	1 Jul →
inferno	10–13	0.01	16%	1 Jul →
mirage	13–7	0.02	17%	1 Jul →
mirage	6–13	-0.01	17%	1 Jul →
mirage	8–13	-0.10	9%	1 Jul →
dust2	11–13	-0.03	22%	30 Jun →
inferno	7–13	-0.01	21%	30 Jun →
dust2	13–1	0.13	20%	29 Jun →
cache	19–15	-0.01	15%	28 Jun →
dust2	12–12	0.01	20%	26 Jun →
nuke	13–11	0.04	21%	26 Jun →
cache	12–12	0.00	22%	24 Jun →
inferno	4–13	-0.11	10%	23 Jun →
cache	10–13	0.03	17%	22 Jun →
train	10–13	-0.02	25%	22 Jun →
train	11–13	0.00	17%	22 Jun →
dust2	7–13	-0.05	17%	18 Jun →
anubis	10–13	0.01	14%	17 Jun →
anubis	7–13	-0.03	10%	17 Jun →
dust2	5–13	-0.05	22%	16 Jun →
mirage	10–13	0.04	12%	16 Jun →
anubis	11–13	0.01	21%	12 Jun →
mirage	8–13	0.02	14%	12 Jun →
mirage	8–13	-0.03	18%	11 Jun →
mirage	2–13	-0.06	5%	10 Jun →
ancient	13–7	-0.01	16%	10 Jun →
dust2	13–9	-0.02	22%	8 Jun →
ancient	2–13	-0.06	16%	7 Jun →