WIPSKY — CS2 Stats

LV76561198396684216[U:1:436418488]Steam profile ↗✓ No bans

6,163Tracked matches47%Win rate2020Tracked since

CSDB Rating7.2 StrongPositional Player

Premier CS Rating24,892Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#21525 of 224774 tracked

FaceitLevel 10 · 2,823 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 6,163 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 21 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,892 -623 21 Jun – 17 Sept · 28 days played

Faceit ELO: 2,823 +0 29 Aug – 17 Sept · 7 observations

27,045Peak Premier in tracked matches

2,823Highest Faceit ELO seen on CSDB

34Days played since 2026-06-21

Faceit ELO

At peak — 2,823
Next: 3,000 ELO at 3,000 — 177 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-29
Level 10 first seen 2026-08-29

Premier CS Rating

1,951 below peak (26,843)
+300 over 30 days · steady
-623 over 90 days
Next: Red band at 25,000 — 108 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim88

Positioning72

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWWWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −2.1pp headshot accuracy · +11ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.07
Avg headshot accuracy 22%
Avg reaction 487ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 22%
Avg reaction 529ms

Last 20

10–10 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 23%
Avg reaction 523ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.8

Utility5.9

Positioning7.2

Opening Duels5.7

Clutch4.0

Sharp aimerStrong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.8

Positioning7.2

Utility5.9

Mechanics7.1

Opening Duels6.5

Win Impact3.9

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time529ms−21ms

first ⅓ avg 550ms → last ⅓ avg 529ms

Headshot accuracy23.6%+4.3%

first ⅓ avg 19.3% → last ⅓ avg 23.6%

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.

Personal bests

0.16Best match rating · 13–6 · anubis, 21 Jun →

60%Best headshot accuracy · 2–2 · ancient, 5 Aug →

383msFastest reaction time · 9–7 · vertigo, 18 Aug →

13–1Biggest win · ancient, 5 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 75% over 12anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	0.02
mirage	C	23	8–15	35%	0.02
cache	B	15	8–7	53%	0.04
ancient	S	12	9–3	75%	0.03
inferno	A	8	5–3	63%	0.05
anubis	D	5	1–4	20%	0.04
nuke	—	4	1–3	25%	0.01
fachwerk	—	1	1–0	100%	0.07
vertigo	—	1	1–0	100%	0.11
overpass	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,782Matches

51%Win rate

0.98Avg K/D

78.1ADR

52%Headshot %

Clutches & streaks

40%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	447	56%	1.03	15.0
Anubis	273	55%	1.08	15.2
Mirage	263	48%	0.98	14.8
Dust2	242	48%	0.98	15.2
Nuke	154	48%	1.01	14.6
Inferno	128	53%	1.03	15.6
Vertigo	99	48%	0.94	14.1
Overpass	33	55%	0.96	14.5

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.

22.9%Headshot accuracy

39.1%Accuracy (enemy spotted)

43.1%Spray accuracy

81.8%Counter-strafing

9.7°Preaim

528msReaction time

49.7%T opening success

62.3%CT opening success

0.54Enemies flashed / flash

12.8%Flash assists

7.38HE damage / grenade

12.09Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	1–5	0.08	26%	15 Sept →
ancient	13–11	0.05	20%	15 Sept →
ancient	13–8	0.06	28%	15 Sept →
inferno	13–4	0.04	19%	15 Sept →
mirage	13–4	0.12	18%	15 Sept →
dust2	13–7	-0.00	22%	15 Sept →
dust2	8–13	0.01	27%	15 Sept →
ancient	13–6	0.06	19%	15 Sept →
mirage	13–16	0.00	20%	11 Sept →
dust2	11–13	0.03	23%	10 Sept →
dust2	6–13	0.01	40%	10 Sept →
cache	13–8	0.03	33%	10 Sept →
mirage	13–6	-0.00	20%	10 Sept →
dust2	6–13	-0.02	26%	9 Sept →
dust2	13–2	0.04	26%	9 Sept →
dust2	13–10	0.04	19%	7 Sept →
inferno	11–13	0.02	23%	7 Sept →
ancient	12–16	0.00	16%	7 Sept →
mirage	9–13	0.01	17%	7 Sept →
inferno	14–16	-0.02	24%	7 Sept →
cache	13–9	0.09	26%	3 Sept →
anubis	4–13	0.03	19%	3 Sept →
mirage	5–13	0.00	22%	3 Sept →
fachwerk	13–2	0.07	13%	3 Sept →
dust2	4–13	0.01	34%	3 Sept →
cache	7–13	-0.01	32%	1 Sept →
dust2	13–5	0.13	22%	1 Sept →
cache	8–13	0.03	25%	1 Sept →
dust2	10–13	-0.03	18%	1 Sept →
nuke	13–9	-0.00	19%	1 Sept →
dust2	13–11	0.02	25%	30 Aug →
dust2	9–13	0.10	23%	30 Aug →
cache	9–11	-0.05	36%	30 Aug →
dust2	0–13	-0.01	14%	26 Aug →
dust2	8–13	-0.01	22%	18 Aug →
vertigo	9–7	0.11	48%	18 Aug →
mirage	9–13	0.01	22%	18 Aug →
dust2	8–13	-0.05	19%	18 Aug →
ancient	13–11	0.05	19%	18 Aug →
mirage	13–2	0.09	19%	18 Aug →
mirage	13–2	0.03	9%	16 Aug →
nuke	10–13	0.04	14%	16 Aug →
dust2	13–8	0.04	19%	16 Aug →
dust2	13–8	0.07	31%	14 Aug →
cache	10–13	0.01	19%	12 Aug →
nuke	7–13	-0.04	26%	12 Aug →
anubis	2–13	0.04	32%	5 Aug →
dust2	16–14	-0.04	20%	5 Aug →
ancient	2–2	-0.01	60%	5 Aug →
mirage	13–2	0.05	19%	4 Aug →
mirage	13–11	0.03	23%	4 Aug →
dust2	8–13	-0.01	26%	2 Aug →
ancient	13–10	0.00	10%	2 Aug →
dust2	15–15	0.06	20%	2 Aug →
cache	13–11	0.10	18%	2 Aug →
anubis	15–15	0.08	17%	29 Jul →
dust2	5–13	-0.00	18%	29 Jul →
cache	13–5	0.01	26%	29 Jul →
mirage	9–13	0.06	18%	27 Jul →
mirage	13–10	0.06	17%	27 Jul →
cache	11–13	0.02	15%	27 Jul →
dust2	13–7	0.08	20%	27 Jul →
ancient	7–13	0.03	23%	21 Jul →
mirage	13–5	-0.05	18%	20 Jul →
dust2	1–5	0.00	7%	19 Jul →
cache	13–3	-0.02	13%	16 Jul →
dust2	13–10	0.10	13%	15 Jul →
mirage	8–13	-0.04	38%	15 Jul →
mirage	6–13	-0.02	14%	15 Jul →
inferno	13–2	0.14	19%	15 Jul →
mirage	6–13	0.02	18%	15 Jul →
dust2	0–5	-0.12	0%	15 Jul →
dust2	13–8	0.14	28%	15 Jul →
cache	13–5	0.05	19%	13 Jul →
ancient	13–8	-0.01	16%	13 Jul →
mirage	10–13	-0.03	13%	13 Jul →
dust2	13–9	-0.00	25%	12 Jul →
dust2	13–7	0.00	21%	12 Jul →
ancient	6–13	0.01	27%	12 Jul →
mirage	4–13	-0.03	30%	9 Jul →
dust2	6–13	-0.04	16%	5 Jul →
cache	13–8	0.10	11%	5 Jul →
anubis	5–13	-0.10	14%	5 Jul →
inferno	9–13	-0.02	20%	5 Jul →
ancient	13–1	0.03	12%	5 Jul →
mirage	9–13	0.06	18%	4 Jul →
mirage	13–16	0.07	24%	1 Jul →
inferno	13–5	0.14	20%	1 Jul →
nuke	4–13	0.03	14%	1 Jul →
mirage	10–13	-0.08	9%	29 Jun →
inferno	13–10	-0.01	22%	29 Jun →
cache	13–10	0.11	23%	27 Jun →
mirage	10–13	0.04	20%	27 Jun →
cache	4–13	0.02	30%	27 Jun →
inferno	13–6	0.08	17%	25 Jun →
ancient	13–6	0.03	14%	23 Jun →
dust2	13–10	0.05	22%	23 Jun →
anubis	13–6	0.16	14%	21 Jun →
mirage	11–13	0.01	33%	21 Jun →
overpass	8–13	0.06	16%	21 Jun →