★ That Irto — CS2 Stats

76561199406940638[U:1:1446674910]

1,454Tracked matches35%Win rate2023Tracked since

CSDB Rating3.4 Learning

FaceitLevel 6 · 1,249 ELOTop 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

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

Aim40

Positioning50

Utility58

0–100 skill scores via Leetify.

Recent form

COLD40–51–9Last 10040%Win rateWLLLLLWWLL

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

Player DNA

Aim4.0

Aggression5.5

Utility5.8

Positioning5.0

Opening Duels1.6

Clutch5.4

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 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.0

Positioning5.0

Utility5.8

Mechanics3.8

Opening Duels1.6

Win Impact0.0

Composite 3.4/10 (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 rating0.02+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time650ms−19ms

first ⅓ avg 669ms → last ⅓ avg 650ms

Headshot accuracy14.8%−1.7%

first ⅓ avg 16.5% → last ⅓ avg 14.8%

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

0.19Best rating — overpass 13–4

13–1Biggest win — inferno

5Longest win streak

6–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 57% over 14dust2Weakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	0.04
inferno	D	23	7–16	30%	-0.02
nuke	A	14	8–6	57%	0.03
dust2	D	10	1–9	10%	0.00
anubis	D	9	3–6	33%	0.04
cache	C	5	2–3	40%	0.01
train	C	5	2–3	40%	0.01
ancient	—	4	1–3	25%	-0.00
vertigo	—	3	1–2	33%	0.01
overpass	—	3	3–0	100%	0.10
poseidon	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches

60%Win rate

1.03Avg K/D

74.4ADR

36%Headshot %

Clutches & streaks

47%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	61%	1.01	12.8
Inferno	15	73%	1.02	13.8
Nuke	10	70%	1.18	14.9
Overpass	8	62%	1.09	13.0
Vertigo	8	38%	0.68	10.6
Ancient	8	62%	1.05	10.8
Anubis	7	57%	1.37	15.0
Dust2	6	50%	0.86	11.7

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.

15.1%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.9%Spray accuracy

67.3%Counter-strafing

12.1°Preaim

652msReaction time

41.9%T opening success

30.7%CT opening success

0.50Enemies flashed / flash

4.8%Flash assists

8.41HE damage / grenade

10.39Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0629° — above the 12° 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 0.4999 — 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.

10% win rate across 10 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
cache	13–6	0.01	10%	30 Aug →
nuke	6–13	-0.03	10%	27 Aug →
mirage	11–13	0.01	13%	27 Aug →
dust2	10–13	0.02	22%	27 Aug →
ancient	14–16	0.06	11%	27 Aug →
cache	11–13	-0.04	5%	25 Aug →
nuke	13–8	0.06	11%	25 Aug →
cache	13–7	0.00	14%	30 Jul →
inferno	12–16	-0.05	15%	30 Jul →
anubis	8–13	0.03	10%	14 Jun →
inferno	13–3	0.03	10%	14 Jun →
nuke	8–13	0.00	13%	14 Jun →
nuke	13–11	0.02	18%	28 May →
dust2	9–13	0.01	16%	28 May →
mirage	11–13	0.03	7%	20 May →
vertigo	13–4	0.01	9%	20 May →
train	12–12	0.02	31%	20 May →
nuke	13–7	0.08	15%	18 May →
mirage	12–12	0.05	20%	18 May →
cache	10–13	0.04	16%	18 May →
anubis	9–13	0.02	19%	17 May →
dust2	10–13	0.10	14%	17 May →
inferno	15–15	0.01	22%	17 May →
cache	10–13	0.02	14%	29 Apr →
inferno	10–13	0.03	19%	28 Apr →
mirage	13–7	0.05	14%	28 Apr →
inferno	3–13	-0.05	26%	28 Apr →
inferno	13–7	0.06	11%	27 Apr →
mirage	11–13	0.00	15%	27 Apr →
anubis	12–12	0.02	20%	27 Apr →
inferno	6–13	-0.04	9%	27 Apr →
inferno	13–7	-0.00	13%	26 Apr →
anubis	6–13	0.04	19%	26 Apr →
nuke	13–8	0.07	11%	26 Apr →
train	4–13	0.02	12%	26 Apr →
anubis	13–11	0.07	13%	26 Apr →
mirage	13–2	0.10	10%	26 Apr →
inferno	12–12	0.06	15%	26 Apr →
vertigo	12–12	0.07	8%	26 Apr →
overpass	13–4	0.19	13%	24 Apr →
inferno	13–11	-0.06	14%	24 Apr →
mirage	10–13	0.07	19%	24 Apr →
anubis	13–10	0.03	19%	22 Apr →
train	13–4	0.04	5%	22 Apr →
mirage	10–13	0.01	11%	22 Apr →
dust2	16–14	-0.01	10%	22 Apr →
mirage	13–5	0.10	11%	22 Apr →
inferno	13–1	0.07	25%	22 Apr →
nuke	13–5	0.03	16%	21 Apr →
mirage	13–10	0.07	10%	20 Apr →
dust2	9–13	0.02	10%	20 Apr →
mirage	13–8	0.00	5%	20 Apr →
mirage	11–13	-0.03	13%	16 Apr →
inferno	13–8	0.04	24%	15 Apr →
mirage	13–5	0.06	18%	15 Apr →
nuke	7–13	0.04	12%	14 Apr →
mirage	11–13	0.02	9%	14 Apr →
inferno	13–10	0.09	30%	14 Apr →
mirage	13–9	0.13	20%	13 Apr →
inferno	2–13	-0.14	20%	2 Apr →
mirage	9–13	0.02	18%	2 Apr →
mirage	13–9	0.04	21%	31 Mar →
mirage	13–5	0.06	10%	29 Mar →
inferno	5–13	-0.04	12%	29 Mar →
mirage	7–13	0.01	13%	29 Mar →
dust2	6–13	-0.03	15%	29 Mar →
inferno	5–13	-0.04	8%	28 Mar →
inferno	8–13	0.06	12%	28 Mar →
nuke	13–7	0.04	27%	28 Mar →
overpass	16–13	0.08	20%	27 Mar →
anubis	10–13	0.03	13%	27 Mar →
mirage	13–6	0.03	19%	27 Mar →
dust2	5–13	-0.03	9%	27 Mar →
inferno	1–9	-0.23	33%	27 Mar →
poseidon	2–9	-0.11	42%	27 Mar →
inferno	9–13	-0.07	18%	27 Mar →
inferno	9–13	0.00	11%	25 Mar →
nuke	13–6	0.11	14%	25 Mar →
mirage	16–14	-0.00	13%	22 Mar →
inferno	6–13	-0.03	11%	22 Mar →
ancient	10–13	0.01	15%	22 Mar →
overpass	13–8	0.04	13%	22 Mar →
anubis	13–6	0.01	13%	22 Mar →
nuke	14–16	-0.02	9%	22 Mar →
mirage	13–11	0.02	14%	21 Mar →
inferno	15–15	-0.03	19%	21 Mar →
anubis	12–12	0.12	12%	19 Mar →
inferno	7–13	-0.01	26%	19 Mar →
ancient	5–13	-0.08	9%	19 Mar →
nuke	8–13	-0.01	8%	19 Mar →
nuke	5–13	-0.03	17%	17 Mar →
dust2	12–12	-0.07	13%	17 Mar →
train	7–13	0.03	14%	17 Mar →
vertigo	3–13	-0.04	16%	17 Mar →
dust2	6–13	0.01	13%	16 Mar →
nuke	13–5	0.03	23%	16 Mar →
mirage	9–13	-0.01	15%	16 Mar →
ancient	13–9	0.01	19%	15 Mar →
dust2	9–13	0.01	12%	14 Mar →
train	13–7	-0.07	26%	14 Mar →