Twizzzeh — CS2 Stats

76561197960455668[U:1:189940]Steam profile ↗1 game ban

2,334Tracked matches37%Win rate2020Tracked since

3,511Hours in CS24Hrs last 2 wks

CSDB Rating3.8 Learning

Premier CS Rating4,401Grey band · top ~81.3% of ranked players (population est.)

CSDB Leaderboard#6130 of 8073 tracked

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning47

Utility13

0–100 skill scores via Leetify.

Recent form

HOT62–38Last 10062%Win rateWLWLWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim5.8

Aggression5.4

Utility1.3

Positioning4.7

Opening Duels1.2

Clutch0.6

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 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 680ms 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

Aim5.8

Positioning4.7

Utility1.3

Mechanics7.4

Opening Duels1.3

Win Impact0.6

Composite 3.8/10 (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 rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time667ms+51ms

first ⅓ avg 616ms → last ⅓ avg 667ms

Headshot accuracy23.0%−12.0%

first ⅓ avg 34.9% → last ⅓ avg 23.0%

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

0.15Best rating — mirage 13–1

13–0Biggest win — ancient

21Longest win streak

4–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 90% over 10dust2Weakest map · 42% over 33

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	14–19	42%	-0.02
mirage	A	19	12–7	63%	0.01
nuke	S	15	10–5	67%	-0.03
ancient	S	11	9–2	82%	-0.01
inferno	S	10	9–1	90%	0.00
anubis	S	5	4–1	80%	-0.01
cache	—	3	2–1	67%	-0.06
vertigo	—	2	0–2	0%	-0.01
train	—	1	1–0	100%	0.04
office	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,935Lifetime kills

0.81K/D

3,375Matches

35.7%Match win rate

54.4%Headshot % · Top 25% of tracked players

5.6%Shot accuracy

5,471MVPs

1,294Hours (in match)

3,001Bombs planted

520Bombs defused

Most-used weapons

AK-4723,652

M4A4 / M4A1-S10,372

AWP4,009

P2000 / USP-S2,485

Desert Eagle2,379

Glock-181,421

FAMAS930

Galil AR887

SSG 08677

MAC-10651

Lifetime map wins

6,284dust2

3,662inferno

3,304nuke

1,385vertigo

911train

192office

156cbble

44lake

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

Faceit stats

Combat

105Matches

36%Win rate

0.72Avg K/D

64.3ADR

49%Headshot %

Clutches & streaks

23%1v1 clutch win

18%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	31%	0.72	11.4
Dust2	17	29%	0.72	10.8
Ancient	14	36%	0.67	10.4
Nuke	9	44%	0.66	10.4
Inferno	8	62%	0.81	11.5
Vertigo	8	38%	0.74	14.0
Anubis	7	29%	0.69	12.3
Train	3	33%	0.69	10.3

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.

22.6%Headshot accuracy

31.6%Accuracy (enemy spotted)

29.0%Spray accuracy

83.2%Counter-strafing

10.2°Preaim

680msReaction time

40.7%T opening success

29.2%CT opening success

0.26Enemies flashed / flash

0.7%Flash assists

5.87HE damage / grenade

2.12Flashes / 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 0.2641 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 29.1777% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–3	0.07	10%	27 Aug →
dust2	2–13	0.03	21%	27 Aug →
inferno	13–8	0.05	22%	16 Aug →
nuke	10–13	-0.03	21%	14 Aug →
inferno	13–7	0.14	25%	14 Aug →
mirage	13–1	0.15	26%	14 Aug →
anubis	13–3	-0.01	18%	14 Aug →
train	13–3	0.04	33%	14 Aug →
nuke	13–9	-0.02	15%	13 Aug →
dust2	5–13	0.02	21%	12 Aug →
dust2	8–13	0.03	28%	12 Aug →
ancient	13–6	0.10	13%	11 Aug →
nuke	11–13	-0.03	17%	11 Aug →
dust2	14–16	0.03	35%	10 Aug →
mirage	13–7	0.04	25%	10 Aug →
mirage	13–8	0.07	18%	10 Aug →
dust2	7–13	0.01	29%	10 Aug →
mirage	7–13	-0.03	27%	8 Aug →
mirage	4–13	0.05	25%	8 Aug →
dust2	0–13	-0.00	0%	3 Aug →
dust2	0–13	-0.00	100%	3 Aug →
dust2	0–13	0.00	0%	3 Aug →
nuke	3–13	-0.03	17%	1 Aug →
vertigo	7–13	-0.02	22%	1 Aug →
inferno	4–10	0.05	17%	1 Aug →
dust2	13–2	0.07	17%	1 Aug →
dust2	8–13	-0.02	16%	30 Jul →
ancient	10–13	-0.10	25%	20 Jul →
dust2	7–13	-0.01	31%	18 Jul →
nuke	5–13	-0.01	27%	18 Jul →
anubis	3–13	-0.03	8%	18 Jul →
dust2	1–13	-0.05	22%	18 Jul →
inferno	13–5	-0.04	26%	18 Jul →
dust2	0–5	-0.15	50%	18 Jul →
cache	13–11	-0.07	22%	17 Jul →
dust2	3–13	-0.11	22%	17 Jul →
mirage	13–1	-0.03	16%	17 Jul →
dust2	1–13	-0.08	33%	17 Jul →
ancient	13–0	-0.00	100%	17 Jul →
inferno	13–10	-0.02	33%	17 Jul →
dust2	5–13	-0.19	50%	14 Jul →
mirage	6–13	-0.08	36%	14 Jul →
mirage	0–13	-0.06	0%	14 Jul →
nuke	13–8	-0.10	67%	14 Jul →
dust2	5–13	-0.08	22%	14 Jul →
inferno	13–7	-0.13	9%	14 Jul →
ancient	5–13	-0.09	8%	14 Jul →
cache	11–13	-0.06	33%	13 Jul →
anubis	13–3	-0.04	50%	13 Jul →
mirage	13–3	-0.02	22%	13 Jul →
vertigo	10–13	-0.00	31%	13 Jul →
dust2	11–13	-0.06	28%	13 Jul →
dust2	1–13	0.02	54%	12 Jul →
ancient	13–7	-0.03	29%	12 Jul →
nuke	13–3	0.01	75%	12 Jul →
office	13–6	-0.04	43%	12 Jul →
dust2	13–0	0.00	100%	12 Jul →
dust2	13–0	0.00	0%	12 Jul →
nuke	13–4	-0.12	50%	12 Jul →
mirage	13–0	0.01	36%	12 Jul →
dust2	11–0	-0.04	0%	12 Jul →
dust2	13–0	-0.07	50%	12 Jul →
mirage	13–0	-0.01	23%	12 Jul →
mirage	13–0	0.02	27%	12 Jul →
nuke	13–0	0.00	0%	12 Jul →
mirage	13–0	0.07	63%	12 Jul →
ancient	2–0	0.00	0%	12 Jul →
mirage	13–1	0.01	33%	11 Jul →
dust2	13–0	-0.04	67%	11 Jul →
nuke	2–0	0.00	0%	11 Jul →
ancient	5–0	0.00	50%	11 Jul →
dust2	2–0	0.00	0%	11 Jul →
mirage	5–0	-0.01	33%	11 Jul →
dust2	9–13	-0.00	34%	11 Jul →
nuke	6–9	-0.07	53%	11 Jul →
inferno	9–3	-0.01	43%	11 Jul →
dust2	13–0	-0.02	47%	11 Jul →
ancient	13–0	0.02	68%	11 Jul →
dust2	13–0	0.01	44%	11 Jul →
inferno	13–0	0.02	88%	11 Jul →
ancient	13–0	0.02	100%	11 Jul →
dust2	13–0	0.00	25%	11 Jul →
inferno	13–0	0.02	50%	11 Jul →
mirage	13–0	-0.02	0%	11 Jul →
anubis	13–0	0.01	48%	11 Jul →
inferno	13–0	-0.04	14%	11 Jul →
cache	13–0	-0.06	0%	11 Jul →
nuke	13–0	-0.06	22%	11 Jul →
nuke	13–8	-0.08	35%	11 Jul →
dust2	13–2	0.03	27%	11 Jul →
dust2	13–2	-0.06	40%	11 Jul →
anubis	13–8	0.03	32%	11 Jul →
nuke	9–2	0.00	30%	10 Jul →
dust2	13–3	-0.01	21%	5 Jul →
dust2	13–5	0.05	26%	5 Jul →
ancient	13–6	-0.01	32%	4 Jul →
mirage	7–13	0.11	23%	4 Jul →
mirage	11–13	-0.01	27%	4 Jul →
ancient	13–8	0.02	15%	4 Jul →
mirage	14–16	-0.07	25%	3 Jul →