process — CS2 Stats

US76561198202174256[U:1:241908528]Steam profile ↗✓ No bans

518Tracked matches41%Win rate2020Tracked since

CSDB Rating3.8 Learning

FaceitLevel 2 · 453 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning41

Utility18

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLWLWTWWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim5.4

Aggression4.3

Utility1.8

Positioning4.1

Opening Duels1.4

Clutch3.0

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 NiKo 77% 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 46% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 666ms 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

Aim5.4

Positioning4.1

Utility1.8

Mechanics7.4

Opening Duels2.1

Win Impact1.9

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time654ms−72ms

first ⅓ avg 727ms → last ⅓ avg 654ms

Headshot accuracy14.9%−4.5%

first ⅓ avg 19.3% → last ⅓ avg 14.9%

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

0.14Best rating — inferno 9–2

13–0Biggest win — inferno

7Longest win streak

5–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 63% over 19nukeWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	12–7	63%	-0.03
mirage	C	19	8–11	42%	-0.05
ancient	B	17	8–9	47%	-0.04
dust2	B	13	7–6	54%	-0.05
cache	C	10	4–6	40%	-0.03
nuke	D	9	1–8	11%	-0.08
anubis	A	8	5–3	63%	-0.03
overpass	—	2	2–0	100%	-0.03
train	—	1	0–1	0%	-0.05
poseidon	—	1	1–0	100%	-0.03
vertigo	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

202Matches

47%Win rate

0.79Avg K/D

78.2ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	76	45%	0.77	13.2
Ancient	36	53%	0.86	15.0
Vertigo	23	65%	0.67	11.5
Inferno	21	52%	0.86	13.3
Dust2	17	47%	0.90	13.8
Nuke	11	27%	0.72	11.2
Anubis	10	30%	0.71	11.4
Overpass	8	25%	0.74	12.1

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.

15.4%Headshot accuracy

33.4%Accuracy (enemy spotted)

34.9%Spray accuracy

83.4%Counter-strafing

11.0°Preaim

666msReaction time

24.8%T opening success

46.5%CT opening success

0.42Enemies flashed / flash

6.7%Flash assists

1.35HE damage / grenade

1.86Flashes / 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 0.4211 — 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 24.8283% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.08	16%	28 Aug →
inferno	3–13	-0.02	32%	28 Aug →
cache	10–3	0.01	19%	28 Aug →
train	11–13	-0.05	16%	28 Aug →
mirage	13–7	-0.04	18%	27 Aug →
ancient	12–12	-0.04	18%	27 Aug →
inferno	13–10	-0.02	12%	26 Aug →
anubis	8–8	-0.10	7%	26 Aug →
inferno	13–11	-0.04	12%	26 Aug →
cache	8–13	-0.08	20%	12 Aug →
dust2	7–13	-0.08	20%	12 Aug →
mirage	10–13	-0.17	0%	11 Aug →
dust2	7–13	-0.04	12%	10 Aug →
cache	7–13	-0.05	10%	28 May →
cache	5–13	0.02	22%	7 May →
cache	13–7	0.06	21%	6 May →
cache	4–13	0.01	22%	6 May →
cache	13–6	0.01	18%	29 Apr →
cache	13–7	-0.08	11%	29 Apr →
cache	12–12	-0.07	13%	29 Apr →
cache	2–13	-0.11	0%	28 Apr →
mirage	14–16	-0.03	19%	22 Apr →
overpass	13–7	-0.04	15%	21 Apr →
dust2	11–13	-0.04	14%	21 Apr →
ancient	7–13	-0.07	32%	20 Apr →
mirage	7–13	-0.08	10%	18 Apr →
mirage	15–15	0.00	17%	14 Apr →
mirage	13–4	-0.00	13%	14 Apr →
inferno	9–5	0.10	15%	13 Apr →
nuke	4–9	-0.09	14%	13 Apr →
mirage	9–13	-0.04	3%	12 Apr →
anubis	8–13	-0.03	5%	12 Apr →
ancient	13–5	-0.02	12%	12 Apr →
dust2	13–7	-0.06	14%	11 Apr →
nuke	8–13	-0.08	7%	9 Apr →
dust2	13–2	-0.02	21%	9 Apr →
ancient	13–6	-0.03	16%	9 Apr →
poseidon	9–3	-0.03	55%	9 Apr →
inferno	5–13	-0.12	27%	3 Apr →
mirage	11–13	-0.04	20%	2 Apr →
vertigo	9–5	0.05	33%	2 Apr →
inferno	16–13	0.01	16%	31 Mar →
inferno	6–9	-0.17	12%	31 Mar →
dust2	13–7	-0.02	19%	30 Mar →
mirage	16–13	-0.04	10%	29 Mar →
ancient	13–1	0.02	12%	29 Mar →
inferno	9–4	-0.03	7%	29 Mar →
inferno	9–2	0.14	23%	29 Mar →
inferno	9–1	0.03	20%	29 Mar →
mirage	13–10	-0.08	15%	24 Mar →
inferno	4–9	-0.21	11%	24 Mar →
inferno	9–3	0.07	35%	23 Mar →
nuke	4–9	-0.13	14%	23 Mar →
nuke	9–6	-0.15	18%	22 Mar →
nuke	13–16	-0.09	15%	22 Mar →
mirage	13–7	-0.03	15%	21 Mar →
dust2	13–9	-0.05	13%	21 Mar →
ancient	13–11	-0.09	13%	21 Mar →
ancient	10–13	-0.02	19%	21 Mar →
overpass	13–10	-0.02	13%	21 Mar →
inferno	7–13	-0.07	9%	20 Mar →
ancient	5–13	-0.06	35%	20 Mar →
nuke	14–16	0.01	17%	19 Mar →
mirage	5–13	-0.06	11%	19 Mar →
anubis	4–13	-0.02	12%	17 Mar →
anubis	13–2	-0.00	16%	17 Mar →
dust2	13–3	-0.10	3%	16 Mar →
dust2	10–13	-0.04	36%	14 Mar →
dust2	2–13	-0.02	17%	14 Mar →
ancient	6–13	-0.08	18%	14 Mar →
nuke	8–13	-0.02	23%	13 Mar →
ancient	13–6	-0.04	21%	13 Mar →
nuke	9–13	-0.08	8%	10 Mar →
mirage	14–16	-0.07	20%	6 Mar →
mirage	10–13	0.01	18%	6 Mar →
anubis	16–14	-0.06	22%	4 Mar →
inferno	8–13	-0.05	7%	4 Mar →
mirage	13–10	-0.04	15%	25 Feb →
inferno	13–7	-0.04	23%	25 Feb →
ancient	11–13	-0.10	15%	25 Feb →
ancient	6–13	0.04	22%	24 Feb →
inferno	13–6	0.04	29%	24 Feb →
ancient	13–4	-0.02	30%	23 Feb →
mirage	13–8	-0.03	28%	23 Feb →
ancient	8–13	-0.06	35%	21 Feb →
inferno	13–0	-0.05	14%	21 Feb →
ancient	9–13	-0.05	16%	20 Feb →
nuke	10–13	-0.08	29%	20 Feb →
inferno	13–6	-0.07	16%	18 Feb →
anubis	8–13	-0.06	16%	18 Feb →
dust2	12–12	-0.04	25%	18 Feb →
ancient	13–10	0.01	18%	17 Feb →
anubis	13–10	0.00	17%	17 Feb →
mirage	10–13	-0.08	11%	16 Feb →
inferno	11–13	-0.02	18%	16 Feb →
anubis	13–4	0.00	7%	14 Feb →
mirage	13–10	-0.07	11%	14 Feb →
ancient	13–4	-0.04	25%	14 Feb →
dust2	13–3	0.00	13%	14 Feb →
mirage	10–13	-0.06	14%	12 Feb →