Yiretwo

Yiretwo — CS2 Stats

GB76561198975875475[U:1:1015609747]Steam profile ↗✓ No bans

481Tracked matches59%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGYiretwoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning53
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateWLWWLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · −65ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 676ms

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 (+1.3 against its own average).

Aim7.5
Utility3.1
Positioning5.3
Opening Duels3.5

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

donk

Plays most like donk 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

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

CT openings. Opening success drops from 50% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 669ms 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

Aim7.5
Positioning5.3
Utility3.1
Mechanics7.0
Opening Duels3.1
Win Impact8.1

Composite 5.9/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time678ms+45ms
first ⅓ avg 633ms → last ⅓ avg 678ms
Headshot accuracy18.7%−3.7%
first ⅓ avg 22.4% → last ⅓ avg 18.7%

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

0.23Best match rating · 13–2 · office, 12 Jun →
48%Best headshot accuracy · 9–13 · office, 13 May →
359msFastest reaction time · 11–13 · office, 13 May →
13–0Biggest win · cache, 26 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–4In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 88% over 8vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB2915–1452%0.02
nukeB199–1047%-0.00
officeA106–460%0.01
infernoS87–188%0.03
ancientC73–443%-0.01
mirageB63–350%-0.00
vertigoD51–420%0.03
anubisS54–180%0.04
overpass—42–250%-0.01
train—43–175%0.03
dust2—30–30%0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

262Matches
51%Win rate
1.03Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

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.

19.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
44.8%Spray accuracy
81.4%Counter-strafing
10.3°Preaim
669msReaction time
50.3%T opening success
34.2%CT opening success
0.37Enemies flashed / flash
3.9%Flash assists
10.14HE damage / grenade
3.17Flashes / 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. 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 0.3723 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 34.1989% — below the 40% mark we flag

Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0831%30 Oct →
vertigo3–13-0.0023%30 Oct →
ancient13–90.0114%24 Jun →
cache13–30.0211%24 Jun →
overpass6–130.0214%23 Jun →
mirage0–13-0.0912%23 Jun →
nuke10–130.0624%20 Jun →
inferno13–50.0519%20 Jun →
cache13–110.1416%20 Jun →
train10–13-0.0224%17 Jun →
train13–20.0510%17 Jun →
inferno13–110.0718%15 Jun →
mirage3–130.0422%15 Jun →
nuke0–9-0.2414%14 Jun →
train13–60.0222%14 Jun →
nuke13–100.0616%14 Jun →
overpass2–13-0.0411%14 Jun →
cache13–3-0.0111%13 Jun →
vertigo11–130.0321%13 Jun →
mirage13–50.0629%13 Jun →
nuke13–80.0521%12 Jun →
office13–20.2326%12 Jun →
inferno7–3-0.047%11 Jun →
dust21–10-0.0333%11 Jun →
nuke8–13-0.0723%10 Jun →
cache12–12-0.0518%10 Jun →
ancient9–130.0320%10 Jun →
mirage13–50.0014%10 Jun →
cache13–80.0919%10 Jun →
cache12–120.0623%10 Jun →
vertigo12–120.0810%8 Jun →
nuke13–110.0627%8 Jun →
overpass13–4-0.0114%6 Jun →
office4–13-0.0424%6 Jun →
nuke13–11-0.0320%6 Jun →
inferno13–10-0.0311%5 Jun →
nuke13–11-0.049%4 Jun →
cache12–12-0.038%4 Jun →
anubis13–60.1218%3 Jun →
cache13–40.0524%3 Jun →
nuke2–13-0.0235%3 Jun →
mirage6–130.0217%2 Jun →
inferno13–110.1213%2 Jun →
inferno13–6-0.0117%2 Jun →
dust26–130.0819%2 Jun →
train13–100.0719%27 May →
anubis13–110.0217%27 May →
cache12–12-0.0211%27 May →
anubis9–13-0.039%27 May →
anubis13–60.0212%27 May →
anubis13–50.048%27 May →
nuke13–8-0.039%26 May →
ancient13–2-0.0418%26 May →
nuke8–13-0.0211%26 May →
cache13–00.1821%26 May →
nuke13–100.0117%24 May →
cache4–130.048%24 May →
ancient13–110.029%24 May →
mirage13–10-0.0517%23 May →
nuke10–130.0222%23 May →
nuke1–13-0.0123%23 May →
cache5–40.1215%23 May →
nuke5–130.0017%20 May →
cache13–60.0221%20 May →
cache9–13-0.0718%20 May →
office2–13-0.007%20 May →
vertigo4–13-0.0311%20 May →
nuke9–13-0.0128%20 May →
cache13–20.1010%20 May →
cache5–13-0.0134%19 May →
office13–5-0.0719%19 May →
cache4–13-0.0819%18 May →
office13–90.0015%18 May →
nuke13–5-0.0119%18 May →
cache13–80.0315%18 May →
cache13–80.0927%16 May →
ancient7–13-0.0612%16 May →
office13–90.0116%13 May →
office9–130.0248%13 May →
cache13–30.0524%13 May →
office9–2-0.0233%13 May →
office11–13-0.0431%13 May →
overpass13–8-0.0331%12 May →
inferno0–50.0113%12 May →
cache13–10.0225%12 May →
vertigo13–110.0817%11 May →
ancient9–130.0015%10 May →
cache5–13-0.0524%10 May →
nuke12–120.0214%9 May →
office13–40.0421%9 May →
cache13–3-0.0211%9 May →
cache7–13-0.0715%8 May →
cache10–0-0.0344%6 May →
cache13–10-0.0325%6 May →
cache11–130.0233%6 May →
dust23–130.0916%6 May →
nuke13–50.1922%5 May →
cache10–13-0.0229%5 May →
ancient5–13-0.0421%5 May →
cache1–13-0.0614%4 May →

Match data via Leetify.

Recent teammates

Milestones

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

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