Per — CS2 Stats

76561198040710160[U:1:80444432]1 game ban

516Tracked matches37%Win rate2020Tracked since

CSDB Rating3.7 LearningPassive Rifler

Premier CS Rating16,884Purple band · top ~20.9% of ranked players (population est.)

CSDB Leaderboard#29338 of 55246 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning36

Utility22

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLWWLLLWLL

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

Player DNA

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

Aim6.1

Aggression3.1

Utility2.2

Positioning3.6

Opening Duels0.6

Clutch3.0

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 71% playstyle similarity

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

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.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.1

Positioning3.6

Utility2.2

Mechanics4.3

Opening Duels0.8

Win Impact0.6

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time579ms−98ms

first ⅓ avg 677ms → last ⅓ avg 579ms

Headshot accuracy23.1%+4.5%

first ⅓ avg 18.6% → last ⅓ avg 23.1%

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

0.14Best rating — mirage 13–2

13–0Biggest win — mirage

4Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 62% over 29infernoWeakest map · 27% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	18–11	62%	0.02
inferno	D	22	6–16	27%	0.01
ancient	C	12	5–7	42%	-0.01
nuke	D	12	4–8	33%	0.02
dust2	C	8	3–5	38%	-0.00
anubis	C	7	3–4	43%	0.02
overpass	—	4	0–4	0%	-0.06
cache	—	3	2–1	67%	0.01
vertigo	—	2	0–2	0%	-0.06
train	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,373Matches

50%Win rate

0.96Avg K/D

68.1ADR

41%Headshot %

Clutches & streaks

35%1v1 clutch win

14%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	51%	0.88	12.6
Nuke	36	47%	0.87	13.3
Ancient	32	72%	1.02	14.7
Inferno	26	38%	0.88	11.8
Dust2	20	60%	0.94	15.3
Anubis	17	53%	1.11	14.7
Vertigo	13	69%	1.16	15.7
Cache	9	22%	0.92	13.7

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.

21.9%Headshot accuracy

28.6%Accuracy (enemy spotted)

33.2%Spray accuracy

69.5%Counter-strafing

8.0°Preaim

576msReaction time

28.1%T opening success

36.4%CT opening success

0.45Enemies flashed / flash

0.6%Flash assists

5.63HE damage / grenade

2.17Flashes / 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 0.4468 — below the 0.5 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 28.0672% — 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.

27% win rate across 22 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
inferno	8–13	0.02	27%	23 Aug →
overpass	4–9	-0.09	17%	22 Aug →
anubis	12–1	0.05	13%	22 Aug →
mirage	13–9	-0.04	27%	21 Aug →
train	5–13	-0.10	17%	19 Aug →
inferno	2–13	-0.00	40%	18 Aug →
ancient	3–13	-0.07	47%	16 Aug →
mirage	13–7	-0.02	26%	14 Aug →
vertigo	3–9	-0.06	38%	14 Aug →
inferno	10–13	0.05	31%	14 Aug →
ancient	7–13	-0.04	22%	11 Aug →
anubis	17–19	0.01	16%	9 Aug →
anubis	13–3	0.05	27%	7 Aug →
mirage	13–4	0.10	19%	4 Aug →
anubis	16–13	-0.01	17%	24 Jul →
mirage	6–13	0.06	21%	23 Jul →
inferno	3–9	0.03	26%	22 Jul →
nuke	5–13	-0.00	16%	21 Jul →
ancient	16–13	0.01	23%	20 Jul →
dust2	6–13	-0.10	28%	20 Jul →
nuke	6–13	-0.01	10%	17 Jul →
mirage	13–7	0.07	11%	17 Jul →
dust2	8–13	0.02	17%	17 Jul →
dust2	11–13	0.08	13%	17 Jul →
inferno	9–13	-0.01	19%	17 Jul →
mirage	13–1	0.09	24%	15 Jul →
ancient	11–13	-0.05	15%	15 Jul →
ancient	5–13	-0.04	19%	15 Jul →
cache	6–0	0.03	29%	15 Jul →
inferno	3–13	-0.03	38%	15 Jul →
mirage	4–13	-0.04	25%	15 Jul →
cache	5–13	-0.02	16%	14 Jul →
mirage	13–6	-0.05	28%	14 Jul →
cache	13–3	0.02	17%	13 Jul →
ancient	13–10	-0.01	16%	13 Jul →
mirage	3–13	-0.02	24%	19 Jun →
mirage	6–13	0.04	13%	19 Jun →
mirage	13–0	0.05	28%	18 Jun →
inferno	10–13	0.08	21%	17 Jun →
nuke	5–13	0.01	29%	17 Jun →
nuke	13–11	-0.00	18%	17 Jun →
mirage	13–5	0.01	12%	17 Jun →
nuke	5–13	0.04	22%	16 Jun →
inferno	7–13	-0.00	18%	16 Jun →
inferno	13–10	0.02	24%	16 Jun →
anubis	10–13	0.05	28%	16 Jun →
ancient	2–13	-0.03	38%	16 Jun →
inferno	3–13	-0.07	15%	15 Jun →
inferno	15–15	-0.02	26%	15 Jun →
mirage	6–13	0.02	41%	15 Jun →
mirage	13–8	0.05	22%	15 Jun →
mirage	13–3	0.08	28%	15 Jun →
ancient	13–8	-0.02	27%	15 Jun →
dust2	7–13	-0.02	35%	15 Jun →
mirage	13–2	0.14	34%	15 Jun →
inferno	4–13	-0.02	41%	15 Jun →
nuke	8–13	0.02	24%	15 Jun →
inferno	13–9	0.05	23%	15 Jun →
mirage	4–13	0.03	29%	15 Jun →
inferno	8–13	-0.03	23%	14 Jun →
inferno	8–13	0.03	22%	14 Jun →
dust2	12–5	-0.03	23%	14 Jun →
mirage	11–13	-0.01	31%	14 Jun →
ancient	11–13	0.01	21%	13 Jun →
inferno	6–13	-0.02	40%	13 Jun →
mirage	16–13	-0.00	23%	12 Jun →
ancient	13–8	0.08	11%	12 Jun →
nuke	13–2	0.04	16%	12 Jun →
dust2	9–13	0.05	22%	12 Jun →
inferno	13–5	-0.01	28%	12 Jun →
mirage	13–6	-0.07	12%	12 Jun →
inferno	8–13	-0.01	34%	12 Jun →
nuke	13–7	0.08	18%	12 Jun →
inferno	13–0	0.08	12%	12 Jun →
ancient	6–13	0.07	14%	11 Jun →
mirage	13–11	0.03	20%	11 Jun →
nuke	2–13	-0.04	19%	11 Jun →
overpass	8–13	-0.02	13%	11 Jun →
inferno	8–1	0.09	24%	11 Jun →
nuke	7–13	0.04	12%	11 Jun →
inferno	11–13	0.02	21%	11 Jun →
mirage	13–4	0.03	17%	11 Jun →
anubis	8–13	-0.02	15%	11 Jun →
mirage	13–11	-0.02	14%	10 Jun →
ancient	13–5	-0.03	14%	10 Jun →
nuke	16–14	0.06	22%	9 Jun →
inferno	13–11	0.04	27%	9 Jun →
mirage	9–13	0.01	9%	8 Jun →
vertigo	10–13	-0.06	24%	8 Jun →
overpass	3–13	-0.04	19%	7 Jun →
overpass	3–13	-0.08	6%	30 May →
mirage	15–15	0.05	21%	28 May →
anubis	8–13	0.02	19%	26 May →
mirage	13–6	0.04	8%	13 May →
nuke	14–16	0.01	24%	4 May →
dust2	13–9	-0.03	10%	3 May →
mirage	6–13	-0.03	18%	30 Apr →
mirage	4–13	-0.04	31%	21 Apr →
dust2	13–10	0.02	26%	15 Apr →
mirage	13–5	-0.01	24%	9 Apr →