bullet — CS2 Stats

76561197966760493[U:1:6494765]

3,543Tracked matches46%Win rate2020Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating11,524Blue band · top ~46.8% of ranked players (population est.)

FaceitLevel 4 · 949 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning59

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLLLLWLLWW

Last 10 vs previous 10: -10pp win rate · -0.05 avg rating

Player DNA

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

Aim7.8

Aggression10.0

Utility3.2

Positioning5.9

Opening Duels5.1

Clutch2.4

Strong CT-side openerLimited utility dependence

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 88% 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.

T-side openings. Opening success drops from 58% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Positioning5.9

Utility3.2

Mechanics6.7

Opening Duels5.1

Win Impact3.8

Composite 5.6/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time559ms−21ms

first ⅓ avg 580ms → last ⅓ avg 559ms

Headshot accuracy20.8%+2.0%

first ⅓ avg 18.8% → last ⅓ avg 20.8%

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 — inferno 9–2

13–2Biggest win — anubis

5Longest win streak

6–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

dust2Best map · 57% over 40cacheWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	40	23–17	57%	0.04
inferno	A	18	10–8	56%	0.03
mirage	B	17	9–8	53%	0.02
cache	D	9	2–7	22%	-0.00
nuke	D	7	2–5	29%	0.02
anubis	—	2	2–0	100%	0.09
ancient	—	2	1–1	50%	0.01
train	—	2	0–2	0%	0.06
overpass	—	1	0–1	0%	0.05
shelter	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Faceit stats

Combat

331Matches

49%Win rate

1.12Avg K/D

88.1ADR

32%Headshot %

Clutches & streaks

32%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	31	45%	1.22	18.4
Dust2	26	35%	1.12	18.4
Inferno	22	64%	1.27	16.4
Ancient	10	40%	0.99	15.8
Anubis	8	50%	0.92	15.6
Nuke	7	57%	1.20	18.3
Overpass	3	67%	1.00	16.0
Vertigo	2	100%	1.60	24.5

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.

20.8%Headshot accuracy

34.0%Accuracy (enemy spotted)

35.0%Spray accuracy

80.0%Counter-strafing

8.1°Preaim

553msReaction time

42.7%T opening success

58.1%CT opening success

0.57Enemies flashed / flash

4.0%Flash assists

8.98HE damage / grenade

2.60Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5968 — below the 4 mark we flag
Grenade Lineups →

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	0.01	24%	28 Aug →
mirage	11–13	-0.02	24%	28 Aug →
dust2	8–13	-0.02	13%	27 Aug →
dust2	10–13	-0.02	9%	27 Aug →
mirage	9–13	-0.03	16%	26 Aug →
dust2	13–6	0.06	22%	26 Aug →
inferno	2–13	0.03	22%	26 Aug →
dust2	3–13	0.02	18%	26 Aug →
dust2	13–8	0.06	21%	25 Aug →
dust2	13–6	0.02	21%	25 Aug →
dust2	9–13	0.07	24%	24 Aug →
mirage	13–5	0.10	18%	24 Aug →
inferno	13–6	0.04	17%	24 Aug →
inferno	10–13	0.03	18%	23 Aug →
dust2	13–11	0.05	25%	23 Aug →
anubis	13–6	0.14	10%	23 Aug →
cache	12–12	0.02	13%	23 Aug →
overpass	5–13	0.05	13%	23 Aug →
dust2	10–13	0.06	28%	23 Aug →
mirage	13–6	0.09	28%	22 Aug →
mirage	11–13	-0.03	24%	22 Aug →
inferno	13–8	0.08	17%	22 Aug →
dust2	12–12	0.03	16%	22 Aug →
dust2	3–13	-0.05	9%	22 Aug →
dust2	12–3	0.09	67%	21 Aug →
inferno	8–13	-0.01	22%	21 Aug →
mirage	13–9	0.05	24%	21 Aug →
dust2	16–12	-0.04	22%	20 Aug →
mirage	10–13	0.04	30%	20 Aug →
dust2	6–13	-0.03	15%	20 Aug →
dust2	7–13	0.00	19%	20 Aug →
mirage	13–11	-0.03	28%	19 Aug →
dust2	8–1	0.08	8%	19 Aug →
cache	10–13	-0.01	28%	19 Aug →
dust2	13–7	0.08	24%	18 Aug →
mirage	13–6	-0.00	26%	18 Aug →
dust2	13–8	0.19	22%	17 Aug →
inferno	13–3	0.04	14%	17 Aug →
ancient	4–13	0.04	47%	17 Aug →
train	9–13	0.08	26%	17 Aug →
cache	12–12	0.03	34%	16 Aug →
mirage	5–13	-0.01	11%	16 Aug →
inferno	13–6	-0.02	29%	16 Aug →
nuke	13–5	0.09	24%	15 Aug →
inferno	9–13	-0.01	14%	15 Aug →
dust2	13–7	0.08	19%	14 Aug →
nuke	4–13	0.03	20%	14 Aug →
dust2	13–11	-0.04	11%	14 Aug →
inferno	13–8	0.12	21%	13 Aug →
inferno	13–10	0.06	21%	12 Aug →
dust2	13–6	0.12	21%	12 Aug →
mirage	13–6	0.07	24%	12 Aug →
mirage	5–13	-0.05	12%	12 Aug →
shelter	11–13	-0.01	11%	11 Aug →
dust2	13–3	0.15	12%	11 Aug →
train	3–13	0.04	28%	11 Aug →
nuke	6–13	-0.00	17%	10 Aug →
dust2	13–7	0.04	21%	10 Aug →
mirage	7–13	0.00	29%	10 Aug →
nuke	11–13	-0.00	21%	10 Aug →
inferno	13–4	0.05	31%	9 Aug →
dust2	13–6	-0.01	15%	9 Aug →
vertigo	13–11	0.10	22%	9 Aug →
cache	9–13	-0.01	13%	9 Aug →
anubis	13–2	0.04	10%	9 Aug →
dust2	11–13	0.05	9%	8 Aug →
mirage	12–12	-0.00	6%	8 Aug →
inferno	13–3	0.06	15%	8 Aug →
dust2	13–3	0.09	26%	8 Aug →
nuke	7–13	-0.01	23%	8 Aug →
dust2	13–10	0.08	21%	7 Aug →
dust2	14–16	0.06	15%	7 Aug →
cache	8–13	-0.03	6%	7 Aug →
nuke	13–10	0.09	13%	6 Aug →
cache	13–5	-0.05	21%	6 Aug →
inferno	12–12	-0.03	24%	5 Aug →
dust2	13–4	-0.01	25%	5 Aug →
mirage	13–4	0.11	25%	5 Aug →
dust2	11–13	0.01	18%	4 Aug →
dust2	13–11	-0.02	34%	4 Aug →
cache	5–13	-0.03	18%	4 Aug →
dust2	13–3	0.15	15%	4 Aug →
mirage	13–11	0.02	20%	2 Aug →
ancient	13–9	-0.02	11%	2 Aug →
dust2	10–13	0.05	15%	2 Aug →
nuke	6–13	-0.05	23%	2 Aug →
cache	6–13	0.01	15%	2 Aug →
dust2	13–8	0.10	5%	2 Aug →
mirage	13–6	-0.02	13%	2 Aug →
dust2	9–13	0.09	11%	2 Aug →
cache	13–5	0.05	12%	2 Aug →
inferno	13–3	0.06	21%	1 Aug →
inferno	9–2	0.21	25%	31 Jul →
inferno	4–9	-0.20	19%	31 Jul →
inferno	5–9	-0.07	32%	31 Jul →
dust2	10–13	0.02	25%	31 Jul →
dust2	13–7	0.09	23%	29 Jul →
dust2	6–13	-0.00	19%	29 Jul →
inferno	7–13	0.01	23%	28 Jul →
dust2	8–13	-0.00	10%	28 Jul →