Calss — CS2 Stats

76561198875445095[U:1:915179367]Steam profile ↗

2,229Tracked matches55%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating22,341Top 50% of 819 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#4015 of 12749 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanSilver II

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning40

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateWWWLLWLWWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.0

Aggression3.1

Utility4.4

Positioning4.0

Opening Duels0.0

Clutch2.6

Limited 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 NiKo 82% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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 40 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 583ms 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

Aim8.0

Positioning4.0

Utility4.4

Mechanics7.4

Opening Duels0.6

Win Impact6.7

Composite 5.8/10 (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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time583ms−122ms

first ⅓ avg 705ms → last ⅓ avg 583ms

Headshot accuracy18.9%+0.9%

first ⅓ avg 18.0% → last ⅓ avg 18.9%

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

0.11Best rating — dust2 13–0

13–0Biggest win — dust2

4Longest win streak

W3Current streak

10–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 86% over 7mirageWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	16–19	46%	-0.04
inferno	C	17	7–10	41%	-0.04
cache	S	13	9–4	69%	-0.02
mirage	D	13	4–9	31%	-0.03
anubis	D	12	4–8	33%	-0.03
ancient	S	7	6–1	86%	-0.01
nuke	—	2	1–1	50%	-0.07
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

69Matches

38%Win rate

0.67Avg K/D

63.9ADR

43%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	62%	0.99	16.3
Anubis	7	43%	0.95	13.7
Dust2	5	40%	0.48	7.0
Ancient	1	0%	0.53	8.0
Overpass	1	0%	1.27	14.0

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.

18.7%Headshot accuracy

35.2%Accuracy (enemy spotted)

35.8%Spray accuracy

83.5%Counter-strafing

7.0°Preaim

583msReaction time

23.1%T opening success

34.9%CT opening success

0.58Enemies flashed / flash

5.4%Flash assists

10.05HE damage / grenade

3.91Flashes / 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 3.9088 — below the 4 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 23.1343% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	-0.05	20%	28 Aug →
anubis	13–9	-0.02	21%	28 Aug →
cache	13–10	-0.09	18%	26 Aug →
cache	5–13	-0.03	13%	26 Aug →
dust2	10–13	-0.07	4%	25 Aug →
cache	13–8	0.07	49%	24 Aug →
dust2	9–13	-0.06	18%	24 Aug →
inferno	13–8	-0.09	4%	23 Aug →
anubis	13–7	-0.00	17%	23 Aug →
cache	6–13	-0.05	10%	23 Aug →
mirage	6–13	-0.03	21%	23 Aug →
anubis	13–11	-0.01	16%	22 Aug →
inferno	2–13	-0.12	18%	22 Aug →
dust2	13–6	-0.04	12%	22 Aug →
cache	13–11	0.01	15%	21 Aug →
mirage	11–13	-0.02	15%	21 Aug →
ancient	7–13	-0.02	29%	21 Aug →
dust2	5–13	-0.02	29%	20 Aug →
mirage	9–13	0.00	28%	19 Aug →
dust2	13–3	0.01	29%	19 Aug →
dust2	4–13	-0.03	15%	16 Aug →
dust2	13–3	0.00	15%	16 Aug →
ancient	13–6	-0.07	28%	16 Aug →
anubis	3–13	-0.09	12%	15 Aug →
mirage	15–15	-0.10	9%	15 Aug →
nuke	13–3	-0.06	29%	15 Aug →
dust2	9–13	-0.08	4%	15 Aug →
ancient	13–8	0.02	21%	14 Aug →
dust2	13–3	0.01	35%	14 Aug →
mirage	13–7	-0.07	23%	14 Aug →
dust2	4–13	-0.06	20%	13 Aug →
dust2	13–16	-0.04	14%	13 Aug →
dust2	13–10	-0.03	16%	13 Aug →
cache	13–10	-0.04	11%	12 Aug →
inferno	11–13	-0.01	25%	12 Aug →
dust2	5–13	-0.07	16%	12 Aug →
mirage	15–15	-0.04	24%	11 Aug →
inferno	8–13	-0.03	17%	11 Aug →
anubis	13–9	0.03	28%	11 Aug →
dust2	6–13	-0.07	18%	10 Aug →
cache	16–12	-0.03	14%	10 Aug →
inferno	10–13	-0.04	18%	10 Aug →
dust2	13–11	0.06	23%	10 Aug →
cache	13–7	-0.07	23%	10 Aug →
dust2	13–10	-0.06	7%	9 Aug →
ancient	13–1	-0.04	9%	9 Aug →
dust2	8–13	-0.07	13%	9 Aug →
inferno	5–13	-0.07	19%	9 Aug →
anubis	2–13	-0.04	14%	8 Aug →
inferno	13–6	-0.04	24%	8 Aug →
dust2	13–6	-0.02	18%	8 Aug →
anubis	11–13	-0.00	15%	8 Aug →
mirage	13–7	0.07	26%	8 Aug →
ancient	13–11	-0.03	22%	8 Aug →
inferno	1–13	-0.10	14%	7 Aug →
overpass	7–13	0.01	17%	7 Aug →
dust2	3–13	-0.11	13%	7 Aug →
dust2	8–13	-0.05	12%	7 Aug →
ancient	13–4	0.04	23%	7 Aug →
nuke	7–13	-0.09	5%	6 Aug →
dust2	13–3	-0.07	33%	6 Aug →
dust2	13–7	-0.01	16%	5 Aug →
cache	13–4	0.01	26%	5 Aug →
dust2	16–14	-0.03	25%	5 Aug →
anubis	9–13	-0.09	21%	5 Aug →
anubis	6–13	0.00	17%	4 Aug →
inferno	13–11	0.01	20%	4 Aug →
dust2	13–11	-0.04	27%	4 Aug →
dust2	6–13	-0.05	24%	3 Aug →
cache	7–13	0.01	20%	3 Aug →
ancient	13–5	0.00	16%	3 Aug →
dust2	4–13	-0.01	9%	3 Aug →
mirage	13–4	0.07	16%	1 Aug →
dust2	15–15	-0.04	20%	1 Aug →
dust2	2–13	-0.09	6%	1 Aug →
mirage	8–13	-0.06	16%	1 Aug →
inferno	11–13	-0.08	4%	31 Jul →
anubis	15–15	-0.01	19%	31 Jul →
cache	13–11	-0.01	30%	30 Jul →
dust2	13–0	0.11	15%	29 Jul →
inferno	11–13	-0.06	13%	28 Jul →
dust2	13–9	-0.05	18%	28 Jul →
inferno	7–13	-0.02	44%	27 Jul →
inferno	13–11	0.02	17%	27 Jul →
dust2	13–8	-0.01	23%	27 Jul →
anubis	5–13	-0.09	6%	26 Jul →
dust2	13–9	0.01	21%	26 Jul →
anubis	12–12	-0.02	21%	26 Jul →
inferno	13–6	-0.03	23%	25 Jul →
mirage	15–15	-0.06	15%	25 Jul →
dust2	4–13	-0.07	12%	24 Jul →
inferno	13–9	-0.04	14%	24 Jul →
mirage	9–13	-0.03	10%	24 Jul →
mirage	13–11	-0.04	28%	24 Jul →
cache	9–13	-0.04	15%	24 Jul →
dust2	12–12	-0.08	26%	23 Jul →
inferno	13–8	-0.03	17%	22 Jul →
dust2	5–13	-0.08	21%	22 Jul →
inferno	9–13	0.04	18%	19 Jul →
mirage	11–13	-0.06	13%	19 Jul →