School

School — CS2 Stats

76561199138356819[U:1:1178091091]Steam profile ↗✓ No bans

645Tracked matches37%Win rate2025Tracked since
CSDB Rating3.3 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+25Tracked matches · now 645
−6.4ppWin rate · 43.5% → 37.0%

Rating over time

40Days played since 2026-07-26

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

Performance scores

Aim27
Positioning29
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY29–61–10Last 10029%Win rateLLWLTLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +17ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 733ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 688ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 680ms

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 (+4.9 against its own average).

Aim2.7
Utility5.6
Positioning2.9
Opening Duels0.0
Clutch9.4

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 35% on T to 19% on CT — first contacts on the defending side are being lost.

Reaction time. 676ms 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

Aim2.7
Positioning2.9
Utility5.6
Mechanics6.5
Opening Duels0.7
Win Impact0.7

Composite 3.3/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.07 → last ⅓ avg -0.05
Reaction time676ms−7ms
first ⅓ avg 683ms → last ⅓ avg 676ms
Headshot accuracy12.2%+1.3%
first ⅓ avg 10.9% → last ⅓ avg 12.2%

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

0.06Best match rating · 13–1 · cache, 30 Aug →
31%Best headshot accuracy · 10–13 · anubis, 16 Sept →
391msFastest reaction time · 13–4 · inferno, 1 Sept →
13–1Biggest win · cache, 30 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 40% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D3610–2628%-0.05
infernoD165–1131%-0.04
mirageD113–827%-0.05
anubisD103–730%-0.07
ancientD82–625%-0.07
nukeC52–340%-0.07
vertigoC52–340%-0.08
cache—41–325%-0.06
office—21–150%-0.04
boulder—10–10%-0.10
train—10–10%-0.03
overpass—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
29%Win rate
0.51Avg K/D
43.7ADR
47%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2520%0.467.6
Anubis425%0.567.8
Inferno333%0.476.7
Ancient1100%0.7311.0
Mirage10%0.477.0

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.

12.0%Headshot accuracy
25.3%Accuracy (enemy spotted)
31.5%Spray accuracy
79.3%Counter-strafing
12.2°Preaim
676msReaction time
35.2%T opening success
18.7%CT opening success
0.60Enemies flashed / flash
6.8%Flash assists
8.46HE damage / grenade
11.92Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2001° — above the 12° mark we flag

    Aim Training →
  2. 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 11.9843% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0311%15 Oct →
mirage5–130.0016%15 Oct →
mirage13–10-0.0712%14 Oct →
dust22–13-0.036%14 Oct →
anubis12–12-0.0820%13 Oct →
boulder8–13-0.103%11 Oct →
anubis13–9-0.0311%11 Oct →
dust211–13-0.1210%11 Oct →
inferno13–6-0.0716%11 Oct →
nuke13–7-0.056%10 Oct →
ancient5–13-0.116%10 Oct →
dust211–13-0.0426%8 Oct →
dust24–13-0.098%8 Oct →
dust26–13-0.0715%7 Oct →
inferno4–13-0.065%7 Oct →
inferno12–12-0.0611%27 Sept →
vertigo13–11-0.054%24 Sept →
mirage5–13-0.0512%22 Sept →
anubis13–5-0.0511%22 Sept →
dust26–13-0.089%21 Sept →
train3–13-0.0311%21 Sept →
dust213–6-0.0119%21 Sept →
dust29–13-0.0410%20 Sept →
ancient8–13-0.0711%20 Sept →
nuke13–9-0.0810%20 Sept →
mirage13–11-0.0218%17 Sept →
inferno10–13-0.0620%17 Sept →
ancient11–13-0.0819%16 Sept →
dust213–9-0.059%16 Sept →
dust212–12-0.058%16 Sept →
nuke6–13-0.050%16 Sept →
anubis10–13-0.0131%16 Sept →
anubis9–13-0.0020%16 Sept →
mirage8–130.0010%14 Sept →
dust213–5-0.0722%14 Sept →
cache10–13-0.0811%14 Sept →
dust213–60.0114%13 Sept →
dust213–9-0.0510%10 Sept →
inferno12–12-0.0519%9 Sept →
dust210–13-0.035%8 Sept →
mirage12–12-0.0416%8 Sept →
mirage7–13-0.0214%8 Sept →
inferno12–12-0.0211%7 Sept →
dust212–120.0119%7 Sept →
dust212–12-0.078%5 Sept →
mirage0–13-0.1111%3 Sept →
dust213–10-0.0312%2 Sept →
mirage13–5-0.0124%2 Sept →
ancient8–13-0.0419%2 Sept →
inferno13–90.0413%2 Sept →
inferno12–12-0.046%1 Sept →
dust24–13-0.0813%1 Sept →
dust211–13-0.0412%1 Sept →
vertigo13–10-0.088%1 Sept →
dust213–6-0.0420%1 Sept →
inferno13–4-0.0519%1 Sept →
overpass7–130.0310%1 Sept →
office13–70.0311%1 Sept →
office5–13-0.1014%1 Sept →
dust29–130.009%31 Aug →
cache10–13-0.0811%31 Aug →
nuke3–13-0.0713%31 Aug →
dust213–11-0.0812%31 Aug →
dust24–13-0.0712%31 Aug →
dust28–13-0.0213%31 Aug →
dust211–13-0.0620%30 Aug →
dust212–120.0412%30 Aug →
mirage6–13-0.097%30 Aug →
cache13–10.064%30 Aug →
ancient6–13-0.0813%29 Aug →
ancient13–10-0.077%29 Aug →
inferno5–13-0.0614%29 Aug →
ancient4–0-0.048%29 Aug →
dust25–13-0.0517%29 Aug →
anubis8–13-0.085%20 Aug →
inferno11–13-0.046%20 Aug →
inferno5–13-0.0625%19 Aug →
dust28–13-0.1014%18 Aug →
dust213–10-0.0411%18 Aug →
inferno13–50.025%15 Aug →
anubis18–22-0.096%13 Aug →
anubis2–13-0.108%13 Aug →
dust25–13-0.057%12 Aug →
anubis1–13-0.154%9 Aug →
vertigo4–13-0.100%9 Aug →
vertigo4–13-0.068%9 Aug →
mirage11–13-0.129%4 Aug →
inferno13–8-0.0115%4 Aug →
cache4–13-0.1312%3 Aug →
inferno11–13-0.0721%2 Aug →
anubis13–9-0.0817%1 Aug →
vertigo9–13-0.098%28 Jul →
dust25–13-0.0426%28 Jul →
ancient7–13-0.066%26 Jul →
dust22–13-0.0911%26 Jul →
inferno8–13-0.107%26 Jul →
dust29–13-0.0416%26 Jul →
dust213–2-0.0914%26 Jul →
nuke5–13-0.0917%26 Jul →
dust28–13-0.0612%26 Jul →

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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