Yeti

Yeti — CS2 Stats

US76561198061978526[U:1:101712798]Steam profile ↗✓ No bans

291Tracked matches57%Win rate2020Tracked since
2,005Hours in CS
CSDB Rating6.1 SolidClutch Specialist
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 291 tracked matches. Play, then come back: the next observation lands here.

Rating over time

48Days played since 2021-11-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 15 Sep 2026 and 15 Oct 2026.

Measured 15 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,030), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate49.1%46.8%48.2%meets
Shot accuracy19.9%13.0%13.3%above
Kill/death ratio1.291.061.07above
Match win rate48.2%46.3%46.9%above

Across every metric we can compare, this profile already matches the typical Level 9 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGYetiFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY61–36–3Last 10061%Win rateLWLLLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +4.6pp headshot accuracy · −18ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 28%
  • Avg reaction 528ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 503ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 512ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim8.1
Utility3.9
Positioning5.1
Opening Duels3.3
Clutch6.8

Strong T-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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1
Positioning5.1
Utility3.9
Mechanics7.7
Opening Duels2.0
Win Impact7.2

Composite 6.1/10 (Solid), 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 time544ms−26ms
first ⅓ avg 570ms → last ⅓ avg 544ms
Headshot accuracy20.9%+7.2%
first ⅓ avg 13.7% → last ⅓ avg 20.9%

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

0.21Best match rating · 7–9 · dust2, 18 Jun →
50%Best headshot accuracy · 0–3 · inferno, 28 Aug →
359msFastest reaction time · 13–5 · overpass, 1 Feb →
16–1Biggest win · ancient, 22 Jul →

Across the last 100 tracked matches.

Highlights

12Longest win streak
13–6In matches decided by ≤2 rounds
45Overtime games

Map breakdown

anubisBest map · 71% over 14infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA2012–860%0.00
nukeS1913–668%0.00
anubisS1410–471%-0.01
vertigoA149–564%-0.00
infernoC83–538%-0.00
overpassB84–450%0.01
cache—41–325%-0.03
dust2—42–250%0.07
mirage—43–175%0.06
fachwerk—21–150%-0.08
train—22–0100%0.01
boulder—11–0100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,750Lifetime kills
1.29K/D · Top 25% of Level 8 players
3,032Matches
48.2%Match win rate · Top 50% of Level 8 players
49.1%Headshot % · Top 50% of Level 8 players
19.9%Shot accuracy · Top 5% of Level 8 players
8,573MVPs
2,005Hours (in match)
3,188Bombs planted
1,082Bombs defused

Most-used weapons

AK-4739,588
AWP6,293
AUG2,244
SG 5532,207
P2501,938
FAMAS1,476

Lifetime map wins

5,958inferno
5,000dust2
3,276nuke
2,244vertigo
1,593train
207office
199cbble
114lake

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

Faceit stats

Combat

398Matches
57%Win rate
1.37Avg K/D
72.3ADR
43%Headshot %

Clutches & streaks

54%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient922%0.9613.1
Anubis850%0.9617.5
Nuke786%1.0215.6
Cache250%0.8214.0
Vertigo250%0.9218.0
Inferno2100%1.0612.0
Overpass1100%2.2518.0

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.

20.1%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.9%Spray accuracy
84.8%Counter-strafing
9.4°Preaim
530msReaction time
41.5%T opening success
34.4%CT opening success
0.58Enemies flashed / flash
1.9%Flash assists
6.99HE damage / grenade
4.85Flashes / 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. Advanced Mechanics

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

    CT opening duels 34.4112% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0128%1 Sept →
nuke16–14-0.0320%1 Sept →
ancient8–13-0.0414%28 Aug →
inferno0–3-0.0650%28 Aug →
nuke0–13-0.0927%28 Aug →
ancient13–11-0.059%28 Aug →
cache13–11-0.0418%26 Aug →
anubis19–17-0.0118%19 Aug →
inferno13–10.0926%19 Aug →
ancient10–130.0219%19 Aug →
anubis16–13-0.0312%17 Aug →
ancient13–20.078%17 Aug →
vertigo8–13-0.0526%17 Aug →
ancient13–10-0.0118%17 Aug →
nuke13–16-0.0425%12 Aug →
ancient6–13-0.0120%12 Aug →
ancient8–13-0.0615%10 Aug →
nuke13–9-0.0325%10 Aug →
nuke13–7-0.0113%10 Aug →
inferno13–8-0.0321%8 Aug →
ancient11–13-0.0113%8 Aug →
ancient7–130.0128%8 Aug →
anubis13–100.0816%8 Aug →
nuke13–100.0221%8 Aug →
anubis12–160.0438%8 Aug →
ancient11–13-0.0612%8 Aug →
nuke13–110.0126%8 Aug →
boulder13–8-0.0715%24 Jul →
fachwerk13–10-0.0823%24 Jul →
ancient9–4-0.0129%24 Jul →
anubis7–13-0.0623%24 Jul →
fachwerk11–13-0.0916%24 Jul →
cache9–13-0.0518%23 Jun →
cache5–13-0.0617%23 Jun →
anubis7–13-0.073%23 Jan →
nuke12–120.0411%29 Jul →
dust213–20.1327%28 Jul →
train13–100.0235%16 Jul →
anubis3–13-0.0525%16 Jul →
anubis13–80.0128%1 Jun →
dust213–3-0.0124%1 Jun →
vertigo13–4-0.0110%1 Jun →
inferno9–130.1121%10 Nov →
nuke13–100.0718%6 Oct →
mirage13–100.0718%4 Mar →
overpass13–50.0824%1 Feb →
vertigo16–14-0.0118%1 Feb →
nuke13–30.0415%1 Feb →
anubis16–12-0.029%15 Jan →
inferno9–3-0.130%9 Sept →
anubis19–17-0.0415%12 Aug →
vertigo16–13-0.0319%12 Aug →
ancient16–100.0624%12 Aug →
anubis16–10-0.0313%12 Aug →
mirage16–140.0316%12 Aug →
ancient6–160.0132%22 Jul →
ancient16–120.038%22 Jul →
ancient16–10.1613%22 Jul →
inferno8–80.0316%22 Jul →
dust27–90.2127%18 Jun →
nuke9–70.0522%18 Jun →
mirage8–80.0829%17 Jun →
nuke1–9-0.079%17 Jun →
inferno4–90.0044%17 Jun →
ancient16–140.0516%12 Jun →
inferno13–16-0.0214%12 Jun →
overpass5–90.0230%7 Jun →
vertigo9–2-0.078%6 Jun →
overpass9–70.0218%6 Jun →
vertigo4–16-0.069%2 Jun →
vertigo16–60.0817%2 Jun →
anubis16–50.0614%1 Jun →
nuke9–20.0314%1 Jun →
anubis16–9-0.0015%28 May →
dust27–9-0.0522%28 May →
train9–20.019%28 May →
anubis16–12-0.0115%16 May →
ancient16–50.028%16 May →
ancient16–10-0.027%11 May →
nuke16–110.0511%6 May →
overpass8–16-0.0524%5 May →
ancient16–5-0.065%11 Feb →
nuke16–130.0118%1 Apr →
nuke16–80.0215%27 Jan →
nuke16–70.0618%13 Jan →
nuke10–16-0.0713%13 Dec →
overpass5–16-0.046%22 Nov →
vertigo4–16-0.0413%22 Nov →
overpass16–190.0421%21 Nov →
vertigo19–170.0314%21 Nov →
nuke6–16-0.0417%21 Nov →
vertigo16–50.0215%18 Nov →
mirage16–20.0712%18 Nov →
overpass16–100.0113%17 Nov →
vertigo16–60.0618%17 Nov →
overpass16–70.0117%16 Nov →
vertigo16–60.0710%9 Nov →
vertigo13–160.0310%6 Nov →
ancient19–17-0.029%1 Nov →
vertigo4–16-0.0717%1 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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