opti — CS2 Stats

76561199122339222[U:1:1162073494]Steam profile ↗✓ No bans

592Tracked matches60%Win rate2024Tracked since

CSDB Rating3.1 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim23

Positioning35

Utility26

0–100 skill scores via Leetify.

Recent form

HOT51–38–11Last 10051%Win rateWLLWWWLWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim2.3

Aggression4.7

Utility2.6

Positioning3.5

Opening Duels0.5

Clutch0.0

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 67% playstyle similarity

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

Where you differ: lower utility contribution; 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. 700ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.3

Positioning3.5

Utility2.6

Mechanics3.1

Opening Duels0.7

Win Impact8.3

Composite 3.1/10 (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-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time701ms+14ms

first ⅓ avg 687ms → last ⅓ avg 701ms

Headshot accuracy13.5%+2.1%

first ⅓ avg 11.5% → last ⅓ avg 13.5%

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 — vertigo 2–3

13–2Biggest win — nuke

5Longest win streak

6–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 57% over 21dust2Weakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	34	18–16	53%	-0.04
inferno	A	21	12–9	57%	-0.04
nuke	A	20	11–9	55%	-0.02
dust2	B	17	8–9	47%	-0.03
vertigo	—	3	1–2	33%	0.03
ancient	—	2	1–1	50%	-0.03
overpass	—	2	0–2	0%	-0.08
anubis	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches

49%Win rate

0.68Avg K/D

64.9ADR

38%Headshot %

Clutches & streaks

9%1v1 clutch win

8%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	47%	0.64	11.1
Dust2	7	43%	0.79	13.1
Ancient	4	50%	0.46	7.5
Nuke	2	50%	0.62	11.0
Train	1	100%	1.24	21.0
Inferno	1	0%	0.80	12.0
Vertigo	1	100%	1.06	17.0

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.

13.9%Headshot accuracy

28.0%Accuracy (enemy spotted)

29.5%Spray accuracy

64.0%Counter-strafing

11.1°Preaim

700msReaction time

28.6%T opening success

35.2%CT opening success

0.41Enemies flashed / flash

2.0%Flash assists

4.82HE damage / grenade

4.74Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.9146% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.1411ms — above the 700ms mark we flag
Aim Training →
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 0.4098 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

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