abi1ity — CS2 Stats

CA76561197961317503[U:1:1051775]Steam profile ↗✓ No bans

2,878Tracked matches39%Win rate2020Tracked since

CSDB Rating4.2 Developing

FaceitLevel 7 · 1,506 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning54

Utility39

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateLWLLLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim5.4

Aggression4.9

Utility3.9

Positioning5.4

Opening Duels1.7

Clutch5.0

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 85% 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

T-side openings. Opening success drops from 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms 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

Positioning5.4

Utility3.9

Mechanics5.1

Opening Duels2.1

Win Impact1.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time649ms−34ms

first ⅓ avg 683ms → last ⅓ avg 649ms

Headshot accuracy22.1%+5.3%

first ⅓ avg 16.8% → last ⅓ avg 22.1%

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

0.40Best rating — inferno 9–0

13–3Biggest win — nuke

6Longest win streak

1–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 56% over 25dust2Weakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	29	16–13	55%	0.00
cache	A	25	14–11	56%	-0.00
inferno	C	16	6–10	38%	-0.00
overpass	C	12	5–7	42%	0.01
dust2	D	11	3–8	27%	-0.01
ancient	C	7	3–4	43%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,476Matches

50%Win rate

0.99Avg K/D

73.2ADR

41%Headshot %

Clutches & streaks

45%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	69	52%	0.93	14.3
Inferno	61	56%	0.94	14.1
Nuke	44	59%	0.93	14.4
Ancient	40	58%	1.02	15.8
Overpass	21	57%	0.94	13.4
Cache	18	61%	0.96	12.7
Mirage	12	17%	0.70	12.0
Train	6	83%	1.17	12.7

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.

20.3%Headshot accuracy

34.0%Accuracy (enemy spotted)

40.1%Spray accuracy

72.8%Counter-strafing

12.1°Preaim

664msReaction time

27.3%T opening success

46.7%CT opening success

0.47Enemies flashed / flash

3.2%Flash assists

10.06HE damage / grenade

2.89Flashes / 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 12.1338° — 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 0.4743 — 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.

27% win rate across 11 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
inferno	6–13	-0.04	19%	16 Aug →
ancient	13–10	0.04	28%	15 Aug →
nuke	6–13	-0.04	26%	15 Aug →
inferno	2–9	-0.20	38%	14 Aug →
inferno	7–9	-0.01	26%	14 Aug →
cache	6–13	-0.02	27%	14 Aug →
ancient	7–13	-0.08	17%	9 Aug →
cache	11–13	-0.07	15%	3 Aug →
dust2	8–13	-0.02	23%	1 Aug →
cache	13–10	-0.03	22%	1 Aug →
nuke	13–3	-0.05	19%	1 Aug →
overpass	10–13	0.07	21%	1 Aug →
cache	12–12	-0.03	16%	30 Jul →
nuke	9–13	-0.07	40%	19 Jul →
cache	9–13	-0.04	20%	18 Jul →
inferno	13–10	0.03	17%	18 Jul →
dust2	5–13	-0.08	22%	16 Jul →
dust2	7–13	-0.05	15%	12 Jul →
nuke	13–6	0.05	10%	11 Jul →
nuke	9–5	0.08	20%	10 Jul →
inferno	9–0	0.40	63%	10 Jul →
ancient	7–13	-0.10	13%	4 Jul →
nuke	13–6	-0.00	20%	4 Jul →
nuke	5–13	-0.04	15%	4 Jul →
cache	13–6	0.01	20%	4 Jul →
nuke	12–12	-0.04	26%	4 Jul →
overpass	8–1	0.18	3%	4 Jul →
dust2	13–16	-0.01	14%	3 Jul →
inferno	6–9	-0.09	9%	3 Jul →
inferno	6–9	-0.05	24%	3 Jul →
cache	13–8	0.03	21%	2 Jul →
inferno	9–1	0.26	27%	2 Jul →
nuke	8–13	-0.03	34%	2 Jul →
ancient	6–13	-0.05	12%	30 Jun →
dust2	13–8	0.02	16%	30 Jun →
nuke	13–11	-0.04	24%	30 Jun →
nuke	1–11	-0.01	33%	28 Jun →
cache	13–10	-0.02	20%	27 Jun →
nuke	13–4	0.05	16%	27 Jun →
cache	13–4	0.03	11%	26 Jun →
nuke	13–4	0.00	24%	26 Jun →
inferno	9–4	0.02	31%	26 Jun →
nuke	9–5	0.21	33%	26 Jun →
inferno	1–9	-0.25	0%	26 Jun →
cache	7–13	0.09	20%	25 Jun →
overpass	12–16	-0.00	17%	24 Jun →
dust2	13–6	0.01	18%	24 Jun →
dust2	10–13	-0.03	22%	22 Jun →
nuke	13–4	0.03	15%	22 Jun →
overpass	13–10	-0.00	11%	21 Jun →
nuke	13–4	-0.02	14%	21 Jun →
overpass	13–9	-0.04	10%	19 Jun →
cache	13–5	0.04	20%	19 Jun →
ancient	13–5	0.00	13%	18 Jun →
dust2	12–16	0.08	22%	18 Jun →
cache	13–10	0.03	20%	17 Jun →
cache	13–4	0.05	38%	17 Jun →
nuke	3–13	-0.04	10%	14 Jun →
cache	11–13	0.13	22%	14 Jun →
inferno	13–6	0.01	15%	13 Jun →
cache	13–7	0.03	15%	13 Jun →
dust2	16–13	-0.00	10%	11 Jun →
nuke	1–9	0.02	29%	11 Jun →
dust2	12–12	-0.02	15%	9 Jun →
overpass	12–12	-0.00	8%	8 Jun →
overpass	0–8	0.05	67%	8 Jun →
cache	13–8	-0.00	31%	8 Jun →
dust2	12–12	-0.01	26%	7 Jun →
nuke	8–13	-0.08	17%	7 Jun →
nuke	13–8	0.04	15%	5 Jun →
nuke	3–13	-0.06	9%	4 Jun →
overpass	7–13	-0.04	15%	3 Jun →
cache	5–13	-0.01	19%	3 Jun →
nuke	13–9	0.05	21%	3 Jun →
overpass	13–10	-0.02	15%	2 Jun →
cache	12–12	-0.03	27%	2 Jun →
nuke	13–8	0.03	16%	31 May →
nuke	8–13	0.04	27%	30 May →
nuke	11–13	0.01	15%	29 May →
cache	13–10	-0.01	24%	28 May →
nuke	13–10	-0.05	22%	27 May →
nuke	16–13	0.02	13%	26 May →
cache	9–13	-0.06	14%	25 May →
cache	13–6	-0.07	14%	24 May →
cache	5–13	-0.08	22%	23 May →
ancient	13–10	0.02	10%	23 May →
inferno	6–13	0.02	9%	22 May →
ancient	9–13	0.06	13%	22 May →
nuke	13–7	-0.00	0%	19 May →
inferno	9–4	0.12	21%	19 May →
inferno	6–9	-0.17	27%	19 May →
overpass	10–13	-0.02	21%	17 May →
cache	8–13	-0.01	17%	17 May →
overpass	13–3	-0.03	5%	14 May →
nuke	12–12	0.01	9%	14 May →
cache	13–8	0.02	23%	14 May →
overpass	7–13	-0.04	10%	11 May →
cache	13–3	0.00	14%	11 May →
inferno	4–9	-0.03	26%	10 May →
inferno	2–9	-0.04	20%	10 May →