7KB — CS2 Stats

JP76561198094433326[U:1:134167598]Steam profile ↗

3,750Tracked matches47%Win rate2020Tracked since

3,978Hours in CS

CSDB Rating4.8 Developing

Ladder ranks via Leetify

Performance scores

Aim59

Positioning56

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWWWWWLLLW

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Aim5.9

Aggression6.1

Utility4.1

Positioning5.6

Opening Duels1.8

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 Twistzz 85% 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

CT openings. Opening success drops from 48% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim5.9

Positioning5.6

Utility4.1

Mechanics6.6

Opening Duels2.2

Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time594ms−38ms

first ⅓ avg 632ms → last ⅓ avg 594ms

Headshot accuracy15.1%−5.4%

first ⅓ avg 20.5% → last ⅓ avg 15.1%

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 — anubis 13–3

13–1Biggest win — anubis

5Longest win streak

13–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	28	16–12	57%	-0.01
dust2	B	24	12–12	50%	0.01
anubis	B	21	10–11	48%	-0.00
inferno	D	15	5–10	33%	-0.01
ancient	A	10	6–4	60%	-0.00
nuke	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,756Lifetime kills

0.94K/D

8,429Matches

47.0%Match win rate · Top 50% of tracked players

38.6%Headshot %

13.0%Shot accuracy · Top 50% of tracked players

20,285MVPs

3,978Hours (in match)

11,778Bombs planted

2,566Bombs defused

Most-used weapons

AK-4751,440

AWP27,930

M4A4 / M4A1-S23,933

P2000 / USP-S9,093

Desert Eagle7,138

Galil AR5,092

Glock-184,916

P2504,022

FAMAS3,932

Knife2,856

Lifetime map wins

17,391inferno

14,225dust2

4,959vertigo

3,773nuke

2,550train

790cbble

122lake

25office

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

Faceit stats

Combat

2,950Matches

51%Win rate

1.05Avg K/D

72.9ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	499	53%	1.03	14.9
Dust2	213	49%	0.99	14.9
Ancient	197	50%	1.00	15.1
Anubis	192	47%	1.00	14.6
Inferno	181	49%	0.97	14.3
Vertigo	71	48%	1.04	14.9
Nuke	50	36%	1.03	14.8
Overpass	23	39%	0.96	15.5

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.

14.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

32.8%Spray accuracy

79.6%Counter-strafing

10.2°Preaim

593msReaction time

47.8%T opening success

26.8%CT opening success

0.50Enemies flashed / flash

6.0%Flash assists

4.80HE damage / grenade

8.74Flashes / 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 14.7625% — below the 15% mark we flag
Aim Training →
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 0.4969 — 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 26.8098% — 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.

33% win rate across 15 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
ancient	3–13	-0.02	16%	27 Aug →
ancient	13–7	-0.02	11%	9 Jun →
inferno	13–11	0.04	16%	6 Jun →
anubis	13–8	-0.03	14%	4 Jun →
ancient	13–8	0.02	11%	29 Mar →
dust2	13–11	0.04	26%	29 Mar →
inferno	5–13	-0.07	21%	29 Mar →
mirage	10–13	-0.03	13%	29 Mar →
mirage	11–13	-0.04	15%	29 Mar →
mirage	16–14	0.01	17%	28 Mar →
dust2	13–2	0.03	12%	28 Mar →
mirage	13–11	0.02	12%	28 Mar →
dust2	10–13	-0.00	12%	28 Mar →
inferno	3–13	-0.03	13%	28 Mar →
dust2	11–13	-0.08	6%	27 Mar →
nuke	13–4	0.06	19%	27 Mar →
mirage	13–5	0.09	28%	27 Mar →
mirage	9–13	-0.01	11%	27 Mar →
inferno	14–16	0.04	20%	27 Mar →
inferno	13–9	0.08	15%	27 Mar →
ancient	0–10	-0.10	0%	26 Mar →
ancient	4–13	-0.08	27%	26 Mar →
mirage	13–4	-0.01	13%	24 Mar →
anubis	11–13	-0.06	11%	24 Mar →
anubis	8–13	-0.01	12%	24 Mar →
inferno	4–13	-0.09	11%	24 Mar →
anubis	8–13	-0.02	17%	24 Mar →
inferno	6–13	-0.08	8%	22 Mar →
mirage	13–9	0.04	16%	22 Mar →
dust2	13–3	0.09	17%	22 Mar →
anubis	13–4	-0.02	17%	22 Mar →
anubis	16–12	-0.00	17%	19 Mar →
dust2	6–13	-0.05	26%	19 Mar →
mirage	13–9	0.02	22%	18 Mar →
anubis	6–2	-0.01	11%	18 Mar →
dust2	13–7	0.11	12%	18 Mar →
nuke	13–16	-0.02	17%	18 Mar →
anubis	13–1	0.13	22%	18 Mar →
mirage	9–13	-0.04	22%	17 Mar →
anubis	13–2	0.01	29%	17 Mar →
inferno	13–7	0.03	18%	17 Mar →
anubis	13–3	0.16	11%	17 Mar →
ancient	8–13	0.03	19%	16 Mar →
anubis	11–13	0.02	19%	16 Mar →
anubis	11–13	0.00	37%	16 Mar →
dust2	8–13	0.02	14%	15 Mar →
dust2	13–11	0.06	19%	15 Mar →
mirage	13–11	-0.03	16%	14 Mar →
dust2	9–13	-0.01	8%	13 Mar →
anubis	13–8	0.00	15%	12 Mar →
anubis	7–13	-0.03	10%	12 Mar →
ancient	13–6	0.00	17%	12 Mar →
mirage	19–17	-0.00	18%	10 Mar →
anubis	10–13	-0.02	27%	9 Mar →
dust2	22–20	0.00	18%	8 Mar →
mirage	5–13	-0.08	23%	8 Mar →
anubis	13–16	-0.06	10%	8 Mar →
dust2	6–13	-0.05	19%	7 Mar →
mirage	7–13	-0.04	16%	7 Mar →
dust2	13–7	-0.03	31%	6 Mar →
ancient	13–4	0.06	32%	6 Mar →
mirage	13–12	-0.04	14%	5 Mar →
inferno	13–11	0.09	27%	5 Mar →
dust2	8–13	0.03	8%	5 Mar →
anubis	13–10	-0.01	18%	5 Mar →
dust2	9–13	-0.03	23%	5 Mar →
mirage	13–4	-0.03	19%	4 Mar →
ancient	19–17	0.03	10%	4 Mar →
inferno	3–13	-0.02	15%	4 Mar →
mirage	8–13	-0.02	13%	3 Mar →
inferno	10–13	-0.04	11%	3 Mar →
mirage	13–1	0.01	13%	3 Mar →
ancient	13–6	0.05	12%	3 Mar →
mirage	19–16	0.03	20%	1 Mar →
mirage	22–19	0.02	24%	1 Mar →
mirage	13–7	0.00	31%	27 Feb →
dust2	5–13	-0.04	21%	25 Feb →
mirage	13–3	0.11	31%	25 Feb →
inferno	15–15	-0.02	31%	25 Feb →
anubis	6–13	-0.03	22%	25 Feb →
anubis	19–16	-0.02	18%	25 Feb →
mirage	5–13	-0.02	22%	25 Feb →
dust2	4–13	-0.01	23%	22 Feb →
dust2	11–13	-0.02	17%	21 Feb →
mirage	1–13	-0.09	7%	17 Feb →
anubis	8–13	-0.00	28%	17 Feb →
mirage	10–13	-0.05	23%	17 Feb →
inferno	13–9	0.01	29%	16 Feb →
dust2	9–13	-0.03	21%	15 Feb →
inferno	8–13	-0.03	22%	15 Feb →
mirage	13–10	0.07	20%	14 Feb →
dust2	22–19	0.00	29%	12 Feb →
anubis	5–13	-0.08	21%	12 Feb →
inferno	5–13	-0.07	14%	11 Feb →
mirage	6–13	-0.06	18%	10 Feb →
dust2	13–11	0.04	27%	10 Feb →
dust2	13–8	0.02	17%	10 Feb →
dust2	13–11	0.01	21%	9 Feb →
dust2	13–9	0.07	22%	7 Feb →
mirage	7–13	-0.00	26%	6 Feb →