Protein — CS2 Stats

IS76561198133863506[U:1:173597778]Steam profile ↗

1,681Tracked matches52%Win rate2020Tracked since

2,059Hours in CS

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating20,516Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#16556 of 46246 tracked

FaceitLevel 7 · 1,784 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	43.5%	46.1%	47.0%	3.5% short
Shot accuracy	8.2%	12.6%	12.7%	4.5% short
Kill/death ratio	0.98	1.05	1.07	0.10 short
Match win rate	42.3%	45.7%	46.4%	4.1% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning50

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWWTLWLLLLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.6

Aggression8.2

Utility5.2

Positioning5.0

Opening Duels3.2

Clutch4.0

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-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

Reaction time. 594ms 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

Aim7.6

Positioning5.0

Utility5.2

Mechanics4.5

Opening Duels3.2

Win Impact5.6

Composite 5.7/10 (Solid), 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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time579ms+12ms

first ⅓ avg 567ms → last ⅓ avg 579ms

Headshot accuracy22.4%+5.7%

first ⅓ avg 16.7% → last ⅓ avg 22.4%

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

0.12Best rating — cache 13–0

13–0Biggest win — cache

7Longest win streak

W2Current streak

14–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

anubisBest map · 65% over 17infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	37	20–17	54%	-0.00
anubis	S	17	11–6	65%	0.01
ancient	B	13	7–6	54%	0.01
dust2	B	13	6–7	46%	-0.02
nuke	D	9	3–6	33%	0.01
inferno	D	7	2–5	29%	0.01
vertigo	—	3	0–3	0%	-0.05
mirage	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,480Lifetime kills

0.98K/D

4,761Matches

42.3%Match win rate

43.5%Headshot %

8.2%Shot accuracy

10,812MVPs

2,059Hours (in match)

4,514Bombs planted

877Bombs defused

Most-used weapons

AK-4743,382

M4A4 / M4A1-S19,575

AWP13,057

Desert Eagle7,217

P2000 / USP-S4,500

Glock-183,729

Galil AR3,328

FAMAS1,675

SG 5531,216

MP71,178

Lifetime map wins

13,916dust2

3,610nuke

3,135inferno

1,888vertigo

800train

752lake

336cbble

102office

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

Faceit stats

Combat

892Matches

50%Win rate

1.03Avg K/D

78.7ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	203	49%	1.05	15.7
Anubis	188	57%	1.13	15.9
Dust2	159	47%	0.95	14.4
Nuke	114	63%	1.04	15.7
Mirage	68	34%	0.91	14.4
Inferno	47	36%	0.87	13.6
Vertigo	43	51%	1.09	15.5
Overpass	43	49%	1.02	16.5

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.

23.5%Headshot accuracy

36.3%Accuracy (enemy spotted)

36.4%Spray accuracy

70.5%Counter-strafing

8.1°Preaim

594msReaction time

47.3%T opening success

38.1%CT opening success

0.53Enemies flashed / flash

4.5%Flash assists

4.53HE damage / grenade

10.51Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.0599% — 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.

29% 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
anubis	16–14	-0.00	22%	29 Aug →
ancient	8–1	0.08	44%	28 Aug →
cache	12–12	0.01	22%	28 Aug →
cache	10–13	-0.04	26%	28 Aug →
cache	13–10	0.02	27%	26 Aug →
ancient	6–13	-0.01	19%	26 Aug →
nuke	10–13	0.02	14%	25 Aug →
nuke	1–13	-0.07	40%	25 Aug →
dust2	10–13	-0.03	35%	25 Aug →
cache	13–9	0.07	12%	25 Aug →
anubis	13–11	-0.04	20%	24 Aug →
nuke	8–13	-0.00	32%	24 Aug →
cache	10–13	-0.01	19%	24 Aug →
nuke	13–8	-0.01	12%	24 Aug →
ancient	13–8	0.04	29%	24 Aug →
dust2	10–13	-0.04	25%	18 Aug →
anubis	13–11	0.02	42%	13 Aug →
inferno	6–9	0.10	23%	13 Aug →
vertigo	8–8	-0.08	14%	13 Aug →
vertigo	7–9	-0.01	10%	13 Aug →
nuke	9–4	0.08	12%	13 Aug →
inferno	9–4	0.04	21%	13 Aug →
inferno	8–8	-0.01	16%	13 Aug →
cache	13–11	-0.07	27%	11 Aug →
cache	12–12	-0.01	25%	9 Aug →
cache	11–13	0.02	29%	6 Aug →
cache	12–12	-0.04	18%	5 Aug →
inferno	4–9	0.00	10%	5 Aug →
inferno	9–7	-0.06	6%	5 Aug →
vertigo	3–9	-0.05	25%	5 Aug →
cache	13–3	0.01	16%	4 Aug →
cache	13–10	-0.02	15%	28 Jul →
nuke	5–13	-0.07	31%	26 Jul →
inferno	4–13	0.01	16%	25 Jul →
dust2	11–13	-0.08	18%	25 Jul →
anubis	13–8	-0.00	14%	24 Jul →
cache	13–5	0.02	21%	24 Jul →
dust2	10–13	-0.00	27%	24 Jul →
anubis	13–6	0.08	22%	24 Jul →
ancient	11–13	-0.02	13%	24 Jul →
ancient	11–13	-0.04	14%	24 Jul →
cache	13–4	0.05	19%	24 Jul →
cache	9–13	0.02	14%	24 Jul →
dust2	10–13	-0.05	22%	23 Jul →
cache	13–10	0.03	15%	23 Jul →
ancient	16–14	0.03	16%	23 Jul →
ancient	7–13	-0.02	22%	23 Jul →
cache	10–13	0.01	22%	23 Jul →
cache	13–6	-0.01	12%	23 Jul →
anubis	13–7	-0.04	18%	23 Jul →
cache	13–3	-0.04	25%	23 Jul →
cache	13–11	0.02	18%	23 Jul →
cache	13–11	-0.03	25%	22 Jul →
dust2	13–11	-0.03	21%	22 Jul →
dust2	16–14	0.06	14%	22 Jul →
inferno	5–13	-0.02	27%	22 Jul →
nuke	7–13	0.06	21%	21 Jul →
cache	10–13	-0.03	12%	20 Jul →
anubis	13–4	0.04	13%	20 Jul →
dust2	13–11	-0.05	17%	20 Jul →
nuke	13–4	0.09	9%	20 Jul →
cache	11–13	-0.02	28%	20 Jul →
cache	13–8	0.05	13%	20 Jul →
ancient	13–10	0.02	15%	19 Jul →
ancient	13–6	-0.00	10%	19 Jul →
anubis	7–13	0.06	20%	19 Jul →
cache	5–13	0.02	32%	18 Jul →
ancient	13–6	0.06	19%	18 Jul →
dust2	13–7	0.10	15%	18 Jul →
anubis	10–13	-0.04	15%	18 Jul →
anubis	13–2	0.04	50%	18 Jul →
ancient	10–13	0.03	19%	17 Jul →
anubis	13–10	0.00	11%	17 Jul →
anubis	4–13	-0.04	13%	17 Jul →
cache	13–0	0.12	13%	17 Jul →
anubis	9–13	-0.05	8%	16 Jul →
mirage	7–13	-0.03	17%	16 Jul →
anubis	9–13	-0.01	13%	16 Jul →
dust2	3–1	0.02	40%	16 Jul →
cache	13–11	-0.03	17%	14 Jul →
cache	13–7	-0.02	14%	30 Jun →
dust2	8–13	-0.06	21%	29 Jun →
nuke	15–15	0.01	12%	29 Jun →
anubis	11–13	0.03	18%	29 Jun →
ancient	13–7	0.06	10%	29 Jun →
ancient	6–13	-0.03	17%	29 Jun →
anubis	13–6	0.02	10%	29 Jun →
dust2	13–7	-0.02	21%	28 Jun →
dust2	11–13	-0.05	14%	28 Jun →
cache	7–13	-0.03	18%	27 Jun →
anubis	13–2	0.04	5%	25 Jun →
cache	12–12	-0.04	13%	25 Jun →
cache	8–13	-0.09	7%	25 Jun →
cache	13–11	0.03	24%	25 Jun →
cache	9–13	-0.06	13%	24 Jun →
cache	13–9	-0.01	11%	24 Jun →
cache	3–13	-0.05	6%	24 Jun →
cache	13–9	0.02	21%	22 Jun →
cache	9–13	-0.05	20%	22 Jun →
cache	13–7	0.07	28%	22 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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