WISKI — CS2 Stats

FI76561198166364005[U:1:206098277]Steam profile ↗✓ No bans

1,993Tracked matches48%Win rate2024Tracked since

CSDB Rating5.2 DevelopingPassive Rifler

Premier CS Rating15,283Purple band · top ~27.3% of ranked players (population est.)

CSDB Leaderboard#14123 of 22553 tracked

FaceitLevel 8 · 1,283 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning46

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWWLLLLWTW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression2.8

Utility6.8

Positioning4.6

Opening Duels0.0

Clutch3.4

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 635ms 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

Aim6.3

Positioning4.6

Utility6.8

Mechanics6.2

Opening Duels0.3

Win Impact4.4

Composite 5.2/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time626ms−21ms

first ⅓ avg 648ms → last ⅓ avg 626ms

Headshot accuracy15.6%+1.2%

first ⅓ avg 14.4% → last ⅓ avg 15.6%

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

0.26Best rating — overpass 9–2

13–1Biggest win — train

4Longest win streak

7–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 83% over 6nukeWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	34	14–20	41%	-0.01
nuke	D	14	3–11	21%	-0.02
cache	C	12	5–7	42%	0.02
dust2	A	11	7–4	64%	0.00
ancient	D	9	3–6	33%	0.01
mirage	C	8	3–5	38%	-0.02
anubis	S	6	5–1	83%	0.03
overpass	—	3	2–1	67%	0.11
vertigo	—	2	1–1	50%	-0.05
train	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

807Matches

50%Win rate

1.00Avg K/D

73.3ADR

35%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	97	51%	1.07	15.3
Ancient	96	53%	1.03	15.8
Dust2	75	55%	0.97	13.3
Mirage	59	51%	0.93	13.1
Overpass	58	59%	1.04	15.3
Cache	56	46%	1.15	14.4
Anubis	51	45%	0.98	15.0
Inferno	50	58%	1.13	15.4

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.

13.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.6%Spray accuracy

78.1%Counter-strafing

9.5°Preaim

635msReaction time

25.0%T opening success

32.3%CT opening success

0.59Enemies flashed / flash

6.8%Flash assists

9.63HE damage / grenade

11.83Flashes / 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 13.8394% — below the 15% mark we flag
Aim Training →
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 25.0132% — 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.

21% win rate across 14 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
inferno	8–13	-0.03	33%	28 Aug →
nuke	13–9	-0.05	12%	28 Aug →
cache	13–11	-0.03	18%	27 Aug →
dust2	4–13	-0.03	18%	27 Aug →
mirage	10–13	-0.04	20%	27 Aug →
nuke	6–13	-0.01	20%	27 Aug →
nuke	5–13	-0.03	12%	27 Aug →
train	13–1	0.07	16%	26 Aug →
inferno	8–8	0.16	10%	26 Aug →
cache	13–9	0.08	9%	26 Aug →
cache	13–4	-0.02	5%	26 Aug →
mirage	16–14	-0.03	16%	25 Aug →
dust2	9–13	-0.07	17%	25 Aug →
anubis	13–6	0.05	14%	25 Aug →
cache	10–13	0.03	18%	25 Aug →
inferno	8–8	-0.01	14%	24 Aug →
inferno	8–8	0.08	18%	23 Aug →
mirage	8–13	-0.00	17%	23 Aug →
ancient	2–13	0.03	13%	23 Aug →
mirage	13–7	-0.02	5%	22 Aug →
dust2	13–9	-0.03	14%	22 Aug →
inferno	13–16	-0.03	17%	22 Aug →
ancient	11–13	-0.01	11%	22 Aug →
inferno	9–13	0.01	17%	22 Aug →
ancient	8–13	-0.04	10%	22 Aug →
overpass	9–2	0.26	7%	22 Aug →
inferno	4–9	-0.13	19%	22 Aug →
nuke	4–9	-0.08	18%	22 Aug →
inferno	9–2	0.11	35%	22 Aug →
inferno	9–6	-0.02	15%	22 Aug →
inferno	7–9	0.00	20%	22 Aug →
nuke	3–9	-0.15	18%	22 Aug →
inferno	9–4	0.11	11%	22 Aug →
inferno	8–8	-0.07	4%	22 Aug →
inferno	3–9	-0.07	8%	22 Aug →
cache	13–3	-0.01	6%	22 Aug →
anubis	13–1	0.06	7%	21 Aug →
vertigo	13–6	-0.06	13%	21 Aug →
inferno	12–12	0.01	12%	21 Aug →
inferno	13–4	-0.06	12%	21 Aug →
dust2	13–7	-0.01	16%	21 Aug →
inferno	9–4	-0.05	20%	21 Aug →
inferno	8–8	-0.12	14%	21 Aug →
inferno	0–9	-0.24	17%	21 Aug →
inferno	9–13	-0.03	7%	21 Aug →
cache	14–16	-0.02	8%	21 Aug →
cache	13–16	0.03	8%	20 Aug →
ancient	8–13	0.03	12%	19 Aug →
dust2	5–13	0.05	18%	19 Aug →
overpass	5–9	-0.03	6%	19 Aug →
inferno	5–9	0.05	15%	19 Aug →
ancient	11–13	-0.01	9%	18 Aug →
inferno	13–9	-0.05	12%	18 Aug →
ancient	7–13	-0.00	6%	18 Aug →
inferno	9–3	0.01	31%	18 Aug →
inferno	9–2	0.00	29%	18 Aug →
inferno	4–9	-0.19	33%	18 Aug →
inferno	9–4	-0.01	7%	18 Aug →
nuke	12–12	0.03	18%	18 Aug →
inferno	11–13	0.04	14%	18 Aug →
ancient	13–4	0.03	7%	18 Aug →
anubis	13–2	0.03	10%	18 Aug →
inferno	13–2	0.05	10%	17 Aug →
nuke	8–13	-0.02	13%	17 Aug →
anubis	13–2	-0.01	14%	17 Aug →
mirage	3–13	-0.02	33%	17 Aug →
dust2	10–13	-0.02	17%	17 Aug →
dust2	4–0	0.04	0%	17 Aug →
inferno	9–5	0.02	21%	16 Aug →
inferno	9–3	-0.05	11%	16 Aug →
inferno	9–6	0.09	14%	16 Aug →
vertigo	7–9	-0.04	15%	16 Aug →
inferno	9–2	0.19	19%	16 Aug →
nuke	6–9	-0.07	21%	16 Aug →
anubis	14–16	0.03	5%	16 Aug →
nuke	13–11	0.13	17%	16 Aug →
cache	8–13	0.04	19%	16 Aug →
mirage	6–13	-0.02	22%	15 Aug →
cache	10–13	0.06	16%	14 Aug →
inferno	4–9	-0.06	14%	14 Aug →
dust2	13–11	0.01	8%	14 Aug →
nuke	9–13	-0.01	8%	14 Aug →
dust2	13–8	0.01	17%	14 Aug →
inferno	8–8	-0.00	0%	14 Aug →
overpass	9–5	0.10	17%	14 Aug →
nuke	3–9	-0.03	29%	14 Aug →
inferno	6–9	-0.01	40%	14 Aug →
dust2	13–9	0.00	10%	14 Aug →
ancient	13–4	0.03	4%	14 Aug →
nuke	12–16	-0.03	13%	14 Aug →
nuke	13–11	0.05	20%	13 Aug →
cache	9–13	0.01	10%	13 Aug →
mirage	13–11	0.05	9%	10 Aug →
mirage	10–13	-0.03	16%	10 Aug →
cache	5–13	-0.05	7%	10 Aug →
cache	16–13	0.06	13%	10 Aug →
anubis	13–9	0.05	15%	10 Aug →
dust2	13–5	0.04	12%	10 Aug →
nuke	11–13	-0.02	19%	10 Aug →
ancient	13–11	0.05	15%	10 Aug →