WhatsaFace — CS2 Stats

ZA76561199215349613[U:1:1255083885]Steam profile ↗✓ No bans

1,018Tracked matches45%Win rate2023Tracked since

1,061Hours in CS

CSDB Rating4.1 Developing

Premier CS Rating4,102Grey band · top ~82.6% of ranked players (population est.)

CSDB Leaderboard#15551 of 20149 tracked

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

Aim47

Positioning48

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateTWWWLWLLLW

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

Player DNA

Aim4.7

Aggression7.0

Utility4.7

Positioning4.8

Opening Duels2.4

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 ropz 82% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 674ms 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

Aim4.7

Positioning4.8

Utility4.7

Mechanics6.2

Opening Duels2.4

Win Impact3.3

Composite 4.1/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time685ms+30ms

first ⅓ avg 656ms → last ⅓ avg 685ms

Headshot accuracy24.1%+2.1%

first ⅓ avg 22.0% → last ⅓ avg 24.1%

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 — dust2 9–13

13–0Biggest win — mirage

5Longest win streak

5–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	10–16	38%	-0.00
mirage	B	21	10–11	48%	0.00
inferno	D	15	5–10	33%	-0.02
nuke	B	11	5–6	45%	0.00
cache	S	9	6–3	67%	0.01
anubis	C	8	3–5	38%	0.01
ancient	B	8	4–4	50%	-0.01
overpass	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,646Lifetime kills

1.04K/D

3,171Matches

34.3%Match win rate

44.0%Headshot %

8.2%Shot accuracy

4,039MVPs

1,061Hours (in match)

1,221Bombs planted

660Bombs defused

Most-used weapons

AK-478,627

AWP6,660

M4A4 / M4A1-S5,834

Desert Eagle3,555

SSG 082,495

P2000 / USP-S2,154

Glock-181,724

Galil AR1,404

Knife1,389

MP71,301

Lifetime map wins

3,490dust2

2,101nuke

1,715inferno

965vertigo

549office

300italy

246train

132assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches

0%Win rate

0.47Avg K/D

43.0ADR

25%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

24.2%Headshot accuracy

27.5%Accuracy (enemy spotted)

26.1%Spray accuracy

77.9%Counter-strafing

10.3°Preaim

674msReaction time

46.0%T opening success

33.5%CT opening success

0.63Enemies flashed / flash

6.3%Flash assists

11.27HE damage / grenade

5.39Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.5047% — 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.

33% win rate across 15 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
nuke	15–15	0.01	16%	27 Aug →
mirage	13–10	0.00	34%	27 Aug →
dust2	13–4	0.00	21%	27 Aug →
dust2	13–3	0.08	33%	27 Aug →
dust2	1–13	-0.06	19%	21 Aug →
nuke	13–3	-0.01	21%	20 Aug →
anubis	10–13	-0.08	18%	19 Aug →
inferno	12–16	0.05	32%	19 Aug →
mirage	14–16	0.02	15%	12 Aug →
inferno	13–10	-0.00	26%	12 Aug →
dust2	9–13	0.02	18%	10 Aug →
inferno	9–13	0.03	27%	5 Aug →
ancient	13–11	0.04	30%	5 Aug →
inferno	5–13	-0.04	14%	4 Aug →
anubis	6–13	-0.02	21%	2 Aug →
mirage	0–13	0.00	22%	2 Aug →
dust2	8–13	0.05	45%	28 Jul →
inferno	13–10	-0.04	28%	28 Jul →
cache	13–3	0.10	45%	28 Jul →
cache	13–1	0.04	46%	27 Jul →
dust2	7–13	-0.03	17%	26 Jul →
dust2	13–5	0.04	17%	26 Jul →
mirage	13–0	0.12	30%	25 Jul →
dust2	7–13	0.03	31%	24 Jul →
nuke	9–13	-0.04	16%	24 Jul →
mirage	13–9	-0.02	13%	24 Jul →
nuke	11–13	0.00	17%	24 Jul →
cache	8–13	-0.02	21%	24 Jul →
mirage	12–16	-0.02	14%	23 Jul →
dust2	13–5	-0.04	38%	18 Jul →
cache	13–10	-0.03	18%	17 Jul →
nuke	10–13	-0.10	13%	17 Jul →
cache	13–11	-0.00	21%	17 Jul →
dust2	14–16	0.02	16%	16 Jul →
inferno	7–13	-0.04	29%	16 Jul →
ancient	7–13	0.05	28%	15 Jul →
cache	13–9	0.02	28%	15 Jul →
dust2	10–13	0.03	44%	12 Jul →
nuke	9–13	0.02	30%	11 Jul →
dust2	8–13	-0.04	14%	11 Jul →
dust2	13–6	-0.02	22%	11 Jul →
nuke	13–11	0.12	29%	11 Jul →
inferno	6–13	-0.03	13%	11 Jul →
mirage	10–13	-0.06	16%	11 Jul →
mirage	8–13	0.02	18%	10 Jul →
inferno	13–6	0.06	22%	10 Jul →
cache	14–16	-0.01	24%	9 Jul →
nuke	13–4	-0.09	21%	9 Jul →
cache	7–13	-0.03	35%	7 Jul →
cache	13–5	0.05	24%	7 Jul →
ancient	13–6	0.01	14%	6 Jul →
mirage	13–4	0.03	20%	3 Jul →
ancient	13–10	0.07	15%	3 Jul →
dust2	13–6	-0.01	17%	3 Jul →
inferno	8–13	-0.05	13%	2 Jul →
anubis	13–4	-0.03	8%	2 Jul →
anubis	8–13	0.04	37%	2 Jul →
mirage	13–5	0.07	20%	2 Jul →
mirage	14–16	-0.03	21%	1 Jul →
dust2	7–13	-0.03	27%	16 Jun →
anubis	6–13	0.05	48%	15 Jun →
ancient	5–13	-0.14	14%	9 Jun →
ancient	0–3	-0.02	0%	6 Jun →
dust2	9–13	0.14	31%	6 Jun →
mirage	9–13	-0.02	21%	5 Jun →
dust2	13–1	-0.00	21%	3 Jun →
mirage	11–13	0.01	24%	29 May →
mirage	2–13	0.02	36%	27 May →
nuke	9–6	0.02	11%	27 May →
inferno	11–13	-0.01	24%	25 May →
overpass	13–16	-0.04	29%	17 May →
inferno	9–13	-0.02	29%	17 May →
dust2	1–13	-0.05	25%	16 May →
inferno	8–13	-0.03	27%	16 May →
inferno	13–10	-0.00	20%	16 May →
inferno	11–13	-0.05	29%	14 May →
inferno	13–11	-0.08	14%	13 May →
mirage	13–9	0.00	21%	13 May →
dust2	9–13	-0.02	34%	10 May →
nuke	14–16	0.02	22%	9 May →
dust2	7–13	0.02	28%	8 May →
dust2	6–13	0.01	24%	8 May →
mirage	11–4	-0.05	26%	7 May →
ancient	13–6	-0.02	30%	4 May →
overpass	13–8	0.07	17%	2 May →
dust2	8–13	-0.03	24%	2 May →
dust2	13–8	-0.02	15%	30 Apr →
mirage	15–15	0.07	18%	30 Apr →
mirage	13–7	0.09	26%	30 Apr →
anubis	13–6	-0.01	12%	30 Apr →
anubis	13–9	0.10	17%	30 Apr →
dust2	13–6	0.00	21%	30 Apr →
nuke	13–4	0.09	18%	29 Apr →
ancient	0–13	-0.10	0%	29 Apr →
dust2	11–13	-0.06	27%	27 Apr →
mirage	11–13	-0.04	14%	25 Apr →
mirage	13–9	-0.03	23%	23 Apr →
dust2	13–9	-0.05	23%	23 Apr →
mirage	13–11	-0.07	19%	22 Apr →
anubis	5–13	0.05	27%	18 Apr →