{Hybrid} — CS2 Stats

GB76561198121286274[U:1:161020546]Steam profile ↗✓ No bans

3,802Tracked matches66%Win rate2020Tracked since

CSDB Rating5.1 Developing

Premier CS Rating22,438Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#13816 of 55680 tracked

FaceitLevel 8 · 1,444 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

HOT60–37–3Last 10060%Win rateWWWWWTLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

Aim4.4

Aggression7.7

Utility6.8

Positioning5.4

Opening Duels3.3

Clutch5.4

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 86% playstyle similarity

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

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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4

Positioning5.4

Utility6.8

Mechanics1.8

Opening Duels3.5

Win Impact10.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time528ms−35ms

first ⅓ avg 563ms → last ⅓ avg 528ms

Headshot accuracy10.3%−0.1%

first ⅓ avg 10.4% → last ⅓ avg 10.3%

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 — mirage 13–1

13–1Biggest win — nuke

5Longest win streak

W5Current streak

11–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 82% over 11cacheWeakest map · 35% over 17

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	23	16–7	70%	0.03
anubis	B	17	8–9	47%	-0.00
cache	C	17	6–11	35%	0.01
ancient	S	13	10–3	77%	0.02
nuke	A	12	7–5	58%	0.03
mirage	S	11	9–2	82%	0.05
dust2	A	7	4–3	57%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

1,295Matches

50%Win rate

1.15Avg K/D

82.6ADR

27%Headshot %

Clutches & streaks

47%1v1 clutch win

28%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	39	56%	1.24	16.9
Ancient	30	57%	1.09	15.5
Nuke	29	41%	1.27	17.2
Overpass	25	64%	1.32	17.0
Anubis	20	70%	1.32	17.6
Mirage	19	47%	1.02	15.0
Vertigo	13	54%	1.41	17.6
Cache	12	50%	1.39	19.5

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.

10.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

38.4%Spray accuracy

58.3%Counter-strafing

12.5°Preaim

531msReaction time

28.7%T opening success

57.8%CT opening success

0.64Enemies flashed / flash

12.5%Flash assists

13.97HE damage / grenade

7.90Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4822° — above the 12° mark we flag
Aim Training →
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 10.8861% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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