IG o Wind

IG o Wind — CS2 Stats

76561199091439100[U:1:1131173372]Steam profile ↗✓ No bans

634Tracked matches46%Win rate2026Tracked since
495Hours in CS6Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,546 -2,211 29 Aug – 19 Sept · 3 days played
8,49110,757peak 10,75729 Aug19 Sept
10,757Peak Premier in tracked matches
26Days played since 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim66
Positioning41
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY55–38–7Last 10055%Win rateWWLWWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +35ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 599ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 632ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.6
Utility4.9
Positioning4.1
Opening Duels0.0

Strong CT-side openerLimited utility dependence

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

b1t

Plays most like b1t 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

Reaction time. 628ms 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

Aim6.6
Positioning4.1
Utility4.9
Mechanics7.2
Opening Duels2.5
Win Impact3.8

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 rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time621ms−6ms
first ⅓ avg 627ms → last ⅓ avg 621ms
Headshot accuracy13.5%−0.9%
first ⅓ avg 14.3% → last ⅓ avg 13.5%

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

0.20Best match rating · 13–3 · anubis, 29 Sept →
27%Best headshot accuracy · 13–6 · nuke, 12 Oct →
422msFastest reaction time · 7–1 · train, 31 Oct →
13–1Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
3–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 73% over 15cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%-0.01
mirageA1912–763%0.02
infernoS1511–473%0.00
nukeB137–654%-0.01
anubisC94–544%0.02
cacheC73–443%-0.02
trainS64–267%-0.04
vertigo—41–325%-0.07
overpass—22–0100%-0.00
ancient—20–20%-0.07

Across the last 100 tracked matches.

Lifetime stats

10,340Lifetime kills
0.83K/D
799Matches
46.7%Match win rate · Top 50% of tracked players
39.8%Headshot %
0.0%Shot accuracy
1,278MVPs
277Hours (in match)
769Bombs planted
137Bombs defused

Most-used weapons

Lifetime map wins

1,958dust2
1,003nuke
795inferno
235vertigo
201train
8office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.1%Headshot accuracy
35.8%Accuracy (enemy spotted)
36.0%Spray accuracy
82.5%Counter-strafing
8.8°Preaim
628msReaction time
42.1%T opening success
37.9%CT opening success
0.64Enemies flashed / flash
4.6%Flash assists
12.29HE damage / grenade
4.38Flashes / 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.

  1. 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 13.1221% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.9287% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0312%1 Nov →
dust213–5-0.0613%1 Nov →
vertigo8–13-0.099%31 Oct →
train7–1-0.0213%31 Oct →
mirage13–5-0.0410%31 Oct →
dust213–4-0.016%30 Oct →
nuke11–130.0022%29 Oct →
inferno1–13-0.1021%29 Oct →
cache8–13-0.0813%24 Oct →
dust27–13-0.0312%24 Oct →
mirage4–130.048%24 Oct →
dust211–130.0021%24 Oct →
mirage6–13-0.0315%20 Oct →
inferno13–10-0.0211%20 Oct →
inferno13–8-0.037%18 Oct →
dust213–5-0.0210%18 Oct →
cache13–60.0522%16 Oct →
dust22–8-0.0722%16 Oct →
inferno11–13-0.045%16 Oct →
anubis9–13-0.0712%16 Oct →
mirage13–10-0.0314%12 Oct →
vertigo11–13-0.0617%12 Oct →
nuke13–6-0.0327%12 Oct →
anubis9–13-0.0013%12 Oct →
dust212–12-0.054%12 Oct →
overpass13–5-0.0011%12 Oct →
train12–12-0.096%12 Oct →
nuke11–13-0.0322%10 Oct →
dust27–130.0012%10 Oct →
train13–80.0112%10 Oct →
train13–4-0.0513%9 Oct →
vertigo8–5-0.0322%9 Oct →
dust213–80.0110%8 Oct →
dust212–12-0.0814%8 Oct →
mirage13–110.1314%7 Oct →
inferno13–5-0.0115%7 Oct →
overpass8–0-0.008%7 Oct →
inferno13–10.0520%7 Oct →
dust29–130.0919%29 Sept →
dust211–130.0210%29 Sept →
anubis13–30.2014%29 Sept →
nuke13–40.079%29 Sept →
mirage13–9-0.026%28 Sept →
nuke5–13-0.0613%28 Sept →
dust213–100.0311%28 Sept →
nuke9–13-0.049%28 Sept →
cache13–8-0.0111%28 Sept →
nuke13–90.0715%28 Sept →
ancient7–13-0.0711%25 Sept →
cache4–130.0210%25 Sept →
mirage10–130.029%24 Sept →
dust213–70.0925%21 Sept →
inferno13–5-0.0518%21 Sept →
anubis10–13-0.0917%21 Sept →
inferno13–110.1221%19 Sept →
mirage15–150.0117%19 Sept →
inferno10–13-0.0410%19 Sept →
dust213–10-0.0410%19 Sept →
anubis7–130.0210%19 Sept →
train13–3-0.0311%19 Sept →
nuke10–13-0.0516%19 Sept →
nuke13–4-0.0521%19 Sept →
mirage13–80.1719%18 Sept →
mirage9–4-0.0311%17 Sept →
anubis7–13-0.048%17 Sept →
anubis13–100.0612%17 Sept →
mirage8–9-0.0113%17 Sept →
nuke13–70.0117%17 Sept →
anubis13–20.1117%17 Sept →
inferno13–60.0716%17 Sept →
nuke9–13-0.068%17 Sept →
dust213–60.048%16 Sept →
nuke13–5-0.029%15 Sept →
inferno13–90.0416%15 Sept →
mirage13–40.0217%15 Sept →
dust213–5-0.0313%15 Sept →
inferno13–20.0618%15 Sept →
inferno13–50.037%14 Sept →
dust212–12-0.0320%14 Sept →
dust212–120.009%14 Sept →
ancient6–13-0.069%14 Sept →
cache2–13-0.0319%14 Sept →
mirage13–80.0915%14 Sept →
cache10–13-0.066%14 Sept →
mirage13–6-0.0010%14 Sept →
mirage13–9-0.0222%10 Sept →
dust213–7-0.0214%10 Sept →
nuke13–60.1127%10 Sept →
mirage7–130.1015%10 Sept →
dust21–13-0.0817%10 Sept →
mirage10–13-0.0411%10 Sept →
inferno13–10-0.029%10 Sept →
dust212–12-0.0417%10 Sept →
vertigo5–13-0.0911%10 Sept →
cache13–6-0.0418%10 Sept →
mirage9–13-0.0113%10 Sept →
inferno11–13-0.0420%9 Sept →
train8–13-0.0416%9 Sept →
anubis13–60.0213%9 Sept →
dust213–30.0818%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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