SKAL ♡ — CS2 Stats

76561198066827992[U:1:106562264]Steam profile ↗✓ No bans

3,142Tracked matches38%Win rate2023Tracked since

CSDB Rating4.7 DevelopingAggressive Rifler

Premier CS Rating19,332Purple band · top ~11.2% of ranked players (population est.)

CSDB Leaderboard#10398 of 22086 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle

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

Aim75

Positioning46

Utility31

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateWWLWLTLLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression7.3

Utility3.1

Positioning4.6

Opening Duels2.9

Clutch1.6

Strong CT-side opener

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 b1t 86% 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 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5

Positioning4.6

Utility3.1

Mechanics4.6

Opening Duels2.9

Win Impact1.0

Composite 4.7/10 (Developing), 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-0.02−0.02

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time511ms−36ms

first ⅓ avg 548ms → last ⅓ avg 511ms

Headshot accuracy24.8%−3.6%

first ⅓ avg 28.4% → last ⅓ avg 24.8%

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

0.17Best rating — cache 13–2

13–1Biggest win — ancient

6Longest win streak

W2Current streak

5–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	-0.00
cache	C	16	6–10	38%	-0.01
dust2	B	15	7–8	47%	0.00
inferno	D	12	4–8	33%	-0.02
ancient	A	11	6–5	55%	-0.01
anubis	S	9	7–2	78%	0.03
nuke	D	9	1–8	11%	-0.03
eldorado	—	1	0–1	0%	0.12

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

125Matches

58%Win rate

1.10Avg K/D

78.4ADR

41%Headshot %

Clutches & streaks

28%1v1 clutch win

23%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	32	66%	1.20	18.4
Mirage	28	68%	1.15	15.6
Dust2	24	42%	1.10	16.8
Inferno	13	46%	1.03	14.7
Vertigo	11	73%	1.07	15.2
Nuke	7	29%	0.78	14.3
Ancient	4	75%	1.01	12.0
Train	3	33%	1.57	21.7

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.

24.3%Headshot accuracy

31.4%Accuracy (enemy spotted)

36.8%Spray accuracy

70.9%Counter-strafing

9.0°Preaim

518msReaction time

33.6%T opening success

49.7%CT opening success

0.36Enemies flashed / flash

3.3%Flash assists

8.87HE damage / grenade

5.24Flashes / 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 0.3595 — 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 33.5872% — 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	13–9	-0.05	14%	28 Aug →
cache	13–8	0.01	22%	28 Aug →
inferno	5–13	0.01	22%	28 Aug →
anubis	13–6	0.02	24%	28 Aug →
nuke	5–13	-0.02	36%	28 Aug →
dust2	15–15	-0.01	16%	25 Aug →
mirage	9–13	-0.07	18%	25 Aug →
mirage	14–16	0.06	15%	25 Aug →
mirage	6–13	-0.04	25%	24 Aug →
inferno	6–13	0.03	30%	24 Aug →
eldorado	8–8	0.12	19%	20 Aug →
cache	6–13	-0.11	21%	19 Aug →
cache	2–13	-0.06	16%	19 Aug →
dust2	5–13	-0.04	32%	19 Aug →
anubis	13–11	0.01	22%	19 Aug →
cache	3–13	-0.15	40%	19 Aug →
mirage	4–13	-0.07	21%	19 Aug →
mirage	13–10	-0.03	12%	18 Aug →
dust2	13–10	0.05	14%	18 Aug →
ancient	9–13	0.03	26%	18 Aug →
ancient	13–10	-0.05	20%	18 Aug →
nuke	4–13	-0.10	12%	17 Aug →
mirage	11–13	-0.04	41%	17 Aug →
cache	13–11	-0.03	32%	17 Aug →
anubis	7–2	0.04	20%	17 Aug →
inferno	7–13	-0.10	22%	17 Aug →
dust2	13–9	0.03	23%	17 Aug →
mirage	10–13	0.01	34%	17 Aug →
ancient	1–4	-0.03	25%	16 Aug →
ancient	13–11	0.02	28%	16 Aug →
mirage	10–13	-0.07	47%	16 Aug →
cache	7–13	-0.06	21%	15 Aug →
mirage	13–3	-0.04	46%	15 Aug →
cache	13–2	0.17	32%	15 Aug →
nuke	6–13	-0.03	17%	14 Aug →
inferno	2–13	0.01	27%	14 Aug →
mirage	13–9	-0.05	19%	14 Aug →
mirage	13–2	-0.01	26%	14 Aug →
anubis	13–8	0.06	24%	14 Aug →
mirage	13–5	0.12	27%	11 Aug →
cache	16–13	0.04	25%	11 Aug →
inferno	13–9	-0.02	21%	11 Aug →
mirage	11–13	-0.03	17%	8 Aug →
nuke	7–13	-0.02	7%	8 Aug →
dust2	7–13	0.03	36%	8 Aug →
cache	13–8	0.02	36%	8 Aug →
mirage	6–13	-0.02	21%	8 Aug →
anubis	9–13	-0.01	16%	8 Aug →
cache	6–13	-0.02	24%	7 Aug →
inferno	10–13	0.02	14%	7 Aug →
mirage	9–13	0.00	21%	7 Aug →
anubis	13–6	0.10	31%	6 Aug →
anubis	16–14	0.03	17%	6 Aug →
nuke	9–13	-0.01	19%	6 Aug →
ancient	13–4	-0.01	26%	6 Aug →
mirage	5–13	-0.04	42%	6 Aug →
mirage	14–16	0.03	38%	5 Aug →
mirage	13–3	0.02	35%	5 Aug →
dust2	6–13	-0.07	17%	4 Aug →
nuke	12–16	-0.05	18%	3 Aug →
dust2	2–13	-0.01	75%	3 Aug →
cache	6–13	-0.04	18%	30 Jul →
ancient	13–10	-0.04	27%	30 Jul →
inferno	13–9	0.04	25%	30 Jul →
ancient	13–1	0.07	22%	30 Jul →
mirage	13–6	0.04	27%	30 Jul →
inferno	7–13	-0.01	14%	29 Jul →
cache	5–13	0.04	47%	29 Jul →
mirage	13–4	0.10	22%	29 Jul →
nuke	9–13	-0.01	19%	29 Jul →
dust2	13–7	0.02	38%	29 Jul →
mirage	13–4	-0.04	20%	29 Jul →
inferno	13–9	0.01	28%	29 Jul →
cache	13–16	-0.10	30%	29 Jul →
dust2	1–13	-0.04	19%	29 Jul →
anubis	6–13	-0.03	33%	28 Jul →
inferno	0–13	-0.09	25%	28 Jul →
dust2	9–13	-0.06	36%	28 Jul →
nuke	13–7	-0.07	10%	28 Jul →
dust2	13–8	0.07	20%	28 Jul →
mirage	8–0	0.07	71%	28 Jul →
cache	6–13	-0.01	17%	28 Jul →
ancient	8–13	-0.01	24%	27 Jul →
mirage	14–16	-0.02	41%	27 Jul →
ancient	13–8	0.06	30%	27 Jul →
dust2	13–6	0.08	50%	27 Jul →
mirage	1–7	-0.06	0%	18 Jul →
anubis	13–3	0.06	31%	18 Jul →
ancient	6–13	-0.13	23%	15 Jul →
ancient	3–13	-0.04	63%	15 Jul →
inferno	10–13	-0.03	35%	14 Jul →
cache	7–13	0.03	12%	14 Jul →
dust2	8–13	0.03	38%	14 Jul →
mirage	13–9	0.06	19%	14 Jul →
inferno	13–4	-0.06	7%	14 Jul →
dust2	13–7	0.01	26%	14 Jul →
nuke	10–13	0.01	29%	14 Jul →
mirage	16–13	0.00	15%	13 Jul →
mirage	12–16	0.02	22%	13 Jul →
cache	13–11	0.07	37%	13 Jul →