refwave — CS2 Stats

JP76561199748666375[U:1:1788400647]Steam profile ↗✓ No bans

444Tracked matches52%Win rate2025Tracked since

981Hours in CS1Hrs last 2 wks

CSDB Rating5.3 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim78

Positioning46

Utility51

0–100 skill scores via Leetify.

Recent form

COLD52–43–5Last 10052%Win rateWLLWLTWLLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

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

Aim7.8

Aggression7.3

Utility5.1

Positioning4.6

Opening Duels3.0

Clutch4.2

Strong 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 b1t 90% playstyle similarity

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

Where you differ: lower aim profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim7.8

Positioning4.6

Utility5.1

Mechanics6.4

Opening Duels3.0

Win Impact5.6

Composite 5.3/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time664ms+9ms

first ⅓ avg 655ms → last ⅓ avg 664ms

Headshot accuracy28.7%+2.5%

first ⅓ avg 26.2% → last ⅓ avg 28.7%

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 — ancient 1–2

13–0Biggest win — mirage

8Longest win streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 63% over 19infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	16–11	59%	0.02
dust2	A	19	12–7	63%	-0.00
nuke	A	16	9–7	56%	0.02
ancient	B	14	7–7	50%	0.01
inferno	D	13	4–9	31%	0.01
overpass	C	5	2–3	40%	0.06
anubis	—	4	1–3	25%	0.00
office	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,556Lifetime kills

1.12K/D · Top 50% of tracked players

883Matches

48.1%Match win rate · Top 50% of tracked players

51.6%Headshot % · Top 25% of tracked players

0.0%Shot accuracy

1,912MVPs

397Hours (in match)

835Bombs planted

277Bombs defused

Most-used weapons

AK-474,311

M4A4 / M4A1-S2,366

AWP1,653

P2000 / USP-S995

Desert Eagle871

Galil AR597

MP7541

Glock-18537

SSG 08426

FAMAS263

Lifetime map wins

2,100dust2

1,239inferno

1,233nuke

219vertigo

88train

35office

1ar_baggage

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

Faceit stats

Combat

94Matches

50%Win rate

1.09Avg K/D

73.3ADR

51%Headshot %

Clutches & streaks

41%1v1 clutch win

29%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	25	56%	1.24	15.7
Dust2	22	50%	1.14	13.8
Inferno	13	23%	0.78	10.8
Ancient	12	50%	0.99	12.6
Nuke	10	50%	1.00	13.4
Anubis	7	57%	1.23	17.0
Overpass	5	80%	1.12	15.0

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.

28.6%Headshot accuracy

34.8%Accuracy (enemy spotted)

41.3%Spray accuracy

78.7%Counter-strafing

10.3°Preaim

650msReaction time

34.0%T opening success

50.4%CT opening success

0.47Enemies flashed / flash

1.4%Flash assists

6.20HE damage / grenade

11.39Flashes / 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 0.4734 — 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 33.9518% — 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.

31% win rate across 13 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
nuke	13–9	-0.01	24%	28 Aug →
nuke	9–13	-0.10	50%	27 Jun →
ancient	1–2	0.16	30%	26 Jun →
nuke	13–5	0.07	42%	30 May →
anubis	11–13	-0.01	38%	30 May →
mirage	15–15	-0.07	22%	29 May →
nuke	13–7	0.05	27%	28 May →
mirage	8–13	-0.08	35%	28 May →
mirage	5–13	0.01	21%	28 May →
mirage	7–13	0.01	30%	28 May →
ancient	7–13	-0.01	27%	28 May →
dust2	13–9	0.00	26%	12 May →
inferno	3–13	-0.10	27%	30 Apr →
inferno	9–4	0.14	29%	16 Apr →
anubis	13–9	0.04	29%	9 Apr →
dust2	13–4	0.03	25%	9 Apr →
inferno	13–7	0.04	22%	9 Apr →
mirage	13–9	0.04	37%	9 Apr →
ancient	13–7	-0.02	7%	8 Apr →
mirage	13–10	0.03	18%	8 Apr →
mirage	13–6	0.06	25%	8 Apr →
dust2	7–13	0.01	22%	8 Apr →
inferno	13–7	0.01	31%	6 Apr →
inferno	10–13	0.05	46%	6 Apr →
dust2	13–11	-0.01	47%	5 Apr →
dust2	13–11	-0.01	38%	5 Apr →
inferno	11–13	0.04	35%	5 Apr →
mirage	13–11	-0.04	24%	4 Apr →
inferno	10–13	-0.02	17%	4 Apr →
ancient	10–13	0.06	26%	3 Apr →
anubis	9–13	-0.01	29%	1 Apr →
dust2	13–11	0.01	25%	29 Mar →
mirage	13–7	0.02	20%	29 Mar →
mirage	13–10	0.00	13%	29 Mar →
nuke	9–13	-0.06	34%	28 Mar →
dust2	13–3	0.05	40%	27 Mar →
nuke	8–13	0.11	31%	27 Mar →
inferno	13–3	-0.03	13%	26 Mar →
anubis	10–13	-0.02	11%	26 Mar →
dust2	7–13	0.01	13%	26 Mar →
ancient	13–10	-0.02	23%	25 Mar →
overpass	5–13	0.03	30%	23 Mar →
nuke	13–6	0.07	24%	23 Mar →
mirage	15–15	0.01	21%	22 Mar →
mirage	13–8	0.02	22%	22 Mar →
mirage	7–0	0.06	0%	22 Mar →
mirage	11–13	-0.03	17%	22 Mar →
mirage	15–15	0.00	24%	21 Mar →
inferno	8–13	-0.01	33%	21 Mar →
dust2	1–13	-0.11	28%	21 Mar →
office	13–10	-0.01	33%	18 Mar →
office	9–13	-0.07	18%	18 Mar →
nuke	13–9	0.06	23%	16 Mar →
dust2	13–10	0.03	22%	16 Mar →
nuke	8–13	-0.04	21%	14 Mar →
mirage	13–8	0.02	25%	14 Mar →
ancient	13–7	0.05	12%	14 Mar →
overpass	13–4	0.16	26%	14 Mar →
dust2	9–2	0.00	0%	13 Mar →
mirage	3–13	0.03	19%	13 Mar →
dust2	13–7	-0.04	37%	13 Mar →
nuke	7–13	-0.06	13%	12 Mar →
mirage	13–9	0.03	38%	12 Mar →
nuke	13–4	-0.02	25%	12 Mar →
ancient	6–13	-0.07	18%	12 Mar →
inferno	9–13	0.02	26%	12 Mar →
ancient	13–6	0.01	27%	12 Mar →
ancient	7–13	-0.01	33%	11 Mar →
mirage	13–9	0.08	32%	11 Mar →
mirage	13–10	-0.04	12%	10 Mar →
dust2	0–4	-0.05	33%	10 Mar →
inferno	6–13	-0.11	8%	10 Mar →
overpass	13–11	0.02	28%	9 Mar →
mirage	16–14	0.07	31%	8 Mar →
ancient	10–13	-0.10	29%	8 Mar →
nuke	13–11	0.05	43%	8 Mar →
ancient	13–2	-0.01	25%	8 Mar →
overpass	11–13	0.06	47%	8 Mar →
nuke	8–13	0.02	22%	8 Mar →
dust2	13–10	-0.03	46%	8 Mar →
nuke	12–16	0.01	17%	8 Mar →
ancient	13–5	0.00	15%	8 Mar →
mirage	13–6	-0.01	22%	7 Mar →
ancient	16–12	0.04	14%	7 Mar →
overpass	10–13	0.04	18%	7 Mar →
mirage	8–13	0.06	28%	7 Mar →
nuke	13–9	0.15	22%	7 Mar →
mirage	13–0	0.11	30%	7 Mar →
mirage	11–13	-0.01	11%	6 Mar →
dust2	13–10	-0.02	24%	6 Mar →
inferno	9–13	0.02	38%	6 Mar →
dust2	6–13	-0.05	35%	6 Mar →
inferno	15–15	0.02	30%	5 Mar →
mirage	13–0	0.05	22%	5 Mar →
ancient	15–15	0.01	18%	5 Mar →
dust2	9–13	0.07	24%	4 Mar →
mirage	11–13	0.05	38%	3 Mar →
nuke	13–11	0.04	20%	3 Mar →
dust2	10–13	0.08	20%	3 Mar →
dust2	13–11	-0.03	29%	3 Mar →