box box — CS2 Stats

76561197964712761[U:1:4447033]

2,418Tracked matches73%Win rate2020Tracked since

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating26,414Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#2012 of 28580 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning64

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWWWLWLWWLW

Last 10 vs previous 10: -10pp win rate · -0.07 avg rating

Player DNA

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

Aim9.1

Aggression9.5

Utility5.2

Positioning6.4

Opening Duels4.7

Clutch3.6

Sharp aimer

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 sh1ro 95% playstyle similarity

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

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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

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. 558ms 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

Aim9.1

Positioning6.4

Utility5.2

Mechanics7.4

Opening Duels4.7

Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time578ms−15ms

first ⅓ avg 592ms → last ⅓ avg 578ms

Headshot accuracy20.9%−1.1%

first ⅓ avg 22.0% → last ⅓ avg 20.9%

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

0.21Best rating — ancient 13–11

13–0Biggest win — mirage

10Longest win streak

W3Current streak

7–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 89% over 9infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	17–11	61%	0.03
mirage	A	19	11–8	58%	0.02
ancient	S	14	10–4	71%	0.06
vertigo	B	10	5–5	50%	0.04
anubis	S	9	8–1	89%	0.02
cache	B	8	4–4	50%	0.04
inferno	C	7	3–4	43%	0.04
nuke	—	2	2–0	100%	0.14
train	—	2	0–2	0%	0.04
overpass	—	1	0–1	0%	-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,798Matches

53%Win rate

1.13Avg K/D

82.0ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	202	53%	1.15	15.4
Anubis	180	57%	1.16	16.4
Dust2	164	54%	1.18	16.5
Mirage	129	50%	1.15	16.0
Vertigo	82	61%	1.28	17.9
Train	20	60%	1.13	16.4
Inferno	11	55%	1.09	17.0
Overpass	7	71%	1.49	14.9

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.

20.8%Headshot accuracy

41.6%Accuracy (enemy spotted)

44.9%Spray accuracy

83.5%Counter-strafing

7.9°Preaim

558msReaction time

45.3%T opening success

52.1%CT opening success

0.48Enemies flashed / flash

5.5%Flash assists

7.78HE damage / grenade

10.04Flashes / 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 0.4831 — below the 0.5 mark we flag
Grenade Lineups →

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.

43% win rate across 7 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	13–8	-0.01	18%	28 Aug →
anubis	13–10	-0.08	11%	28 Aug →
mirage	13–9	-0.00	17%	28 Aug →
cache	4–13	-0.05	16%	27 Aug →
mirage	13–10	-0.02	13%	23 Aug →
mirage	1–8	-0.12	0%	23 Aug →
anubis	13–4	-0.02	17%	22 Aug →
mirage	13–5	-0.00	21%	13 Aug →
mirage	3–13	-0.00	60%	12 Aug →
ancient	7–1	-0.01	18%	12 Aug →
mirage	13–2	0.08	25%	12 Aug →
dust2	4–13	-0.04	15%	9 Aug →
mirage	13–4	0.05	28%	9 Aug →
mirage	13–3	0.07	24%	8 Aug →
inferno	13–7	0.01	33%	7 Aug →
anubis	13–10	0.05	24%	2 Aug →
inferno	0–5	0.05	15%	2 Aug →
anubis	13–11	-0.03	8%	31 Jul →
cache	13–11	0.09	32%	31 Jul →
ancient	13–7	0.07	20%	30 Jul →
mirage	7–13	-0.01	19%	30 Jul →
dust2	13–16	-0.02	10%	28 Jul →
inferno	13–10	0.11	35%	27 Jul →
anubis	10–13	0.06	17%	27 Jul →
ancient	13–3	0.14	19%	26 Jul →
ancient	13–9	-0.02	17%	26 Jul →
cache	13–6	0.13	18%	26 Jul →
anubis	13–10	0.02	23%	24 Jul →
anubis	13–5	0.03	17%	23 Jul →
dust2	13–5	0.04	30%	21 Jul →
nuke	13–5	0.20	22%	21 Jul →
mirage	13–4	0.05	22%	21 Jul →
ancient	16–14	0.01	26%	20 Jul →
dust2	13–5	0.17	22%	20 Jul →
inferno	11–13	0.00	30%	16 Jul →
dust2	13–5	0.04	25%	14 Jul →
cache	9–13	-0.01	23%	12 Jul →
mirage	0–3	-0.04	100%	12 Jul →
ancient	10–13	0.07	21%	12 Jul →
ancient	13–3	0.03	24%	10 Jul →
dust2	11–13	0.02	23%	8 Jul →
dust2	13–6	0.09	29%	8 Jul →
vertigo	13–9	0.03	18%	8 Jul →
vertigo	13–5	0.08	22%	1 Jul →
dust2	13–10	0.14	24%	1 Jul →
vertigo	8–13	-0.05	35%	29 Jun →
ancient	7–13	0.07	19%	24 Jun →
vertigo	13–8	0.07	30%	24 Jun →
dust2	10–13	-0.02	30%	24 Jun →
ancient	13–11	0.08	21%	24 Jun →
dust2	7–13	0.06	20%	17 Jun →
train	6–13	0.07	29%	17 Jun →
train	12–12	0.01	20%	17 Jun →
vertigo	6–13	0.05	20%	10 Jun →
dust2	2–5	-0.07	18%	10 Jun →
dust2	7–13	0.06	18%	10 Jun →
dust2	13–4	0.07	19%	10 Jun →
overpass	2–13	-0.13	0%	8 Jun →
mirage	0–13	-0.06	0%	3 Jun →
dust2	13–10	0.01	24%	31 May →
dust2	13–3	-0.02	28%	30 May →
mirage	12–12	0.09	18%	28 May →
dust2	13–8	0.07	26%	28 May →
mirage	10–2	0.06	26%	24 May →
vertigo	13–5	0.04	14%	23 May →
dust2	12–12	0.05	35%	20 May →
vertigo	13–8	0.09	22%	20 May →
dust2	13–10	0.06	37%	13 May →
dust2	13–6	0.08	18%	9 May →
cache	3–13	-0.05	24%	9 May →
cache	13–11	0.05	17%	8 May →
cache	13–2	0.07	25%	8 May →
vertigo	7–13	0.02	29%	29 Apr →
cache	8–13	0.07	19%	29 Apr →
dust2	13–10	0.05	25%	29 Apr →
dust2	13–9	-0.02	23%	22 Apr →
dust2	10–13	-0.01	17%	22 Apr →
mirage	13–7	0.10	29%	15 Apr →
vertigo	7–13	-0.00	17%	15 Apr →
ancient	13–4	0.12	16%	15 Apr →
mirage	13–0	0.07	18%	12 Apr →
vertigo	6–13	0.04	26%	12 Apr →
dust2	5–3	0.01	7%	1 Apr →
anubis	13–4	0.08	20%	1 Apr →
anubis	13–6	0.03	15%	1 Apr →
ancient	13–11	0.21	37%	25 Mar →
ancient	12–12	0.11	24%	25 Mar →
mirage	13–2	0.10	24%	25 Mar →
mirage	0–4	-0.00	20%	25 Mar →
dust2	13–0	0.00	0%	25 Mar →
dust2	8–13	-0.02	21%	18 Mar →
mirage	4–13	-0.04	31%	18 Mar →
inferno	6–13	0.03	36%	18 Mar →
dust2	13–10	0.08	19%	18 Mar →
nuke	13–9	0.09	18%	11 Mar →
ancient	11–13	-0.04	14%	11 Mar →
inferno	13–4	0.07	26%	10 Mar →
dust2	13–1	0.02	29%	9 Mar →
inferno	15–15	0.00	23%	7 Mar →
dust2	10–13	-0.03	21%	7 Mar →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

Faceit Level 101,000 Matches10-Win StreakAim 90+

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