Classi

Classi — CS2 Stats

76561198262151314[U:1:301885586]Steam profile ↗✓ No bans

368Tracked matches44%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating24,298Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#29985 of 259978 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,298 +5,209 20 Mar – 3 Nov · 13 days played
18,58824,527peak 24,52720 Mar3 Nov
24,634Peak Premier in tracked matches
44Days played since 2025-03-20

Premier CS Rating

  • 229 below peak (24,527)
  • +1,244 over 30 days · improving
  • Next: Red band at 25,000 — 702 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGClassiFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER24,298 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning61
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLLWWWLLLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −45ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 548ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 516ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 538ms

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 (+2.2 against its own average).

Aim7.4
Utility5.8
Positioning6.1
Opening Duels3.7
Clutch0.0

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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 59% on T to 42% on CT — first contacts on the defending side are being lost.

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

Aim7.4
Positioning6.1
Utility5.8
Mechanics6.9
Opening Duels5.1
Win Impact3.1

Composite 6.3/10 (Solid), 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+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time543ms−80ms
first ⅓ avg 624ms → last ⅓ avg 543ms
Headshot accuracy19.1%+0.4%
first ⅓ avg 18.8% → last ⅓ avg 19.1%

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

0.22Best match rating · 13–9 · nuke, 3 Oct →
46%Best headshot accuracy · 13–6 · mirage, 13 Oct →
344msFastest reaction time · 7–13 · dust2, 4 Nov →
13–2Biggest win · nuke, 20 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–1In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 59% over 17officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA1710–759%0.01
infernoB147–750%0.00
ancientB126–650%0.03
mirageD124–833%0.01
cacheC114–736%0.03
vertigoD72–529%0.01
trainA74–357%0.05
officeD61–517%-0.00
dust2—42–250%0.06
anubis—44–0100%0.02
boulder—32–167%0.07
overpass—22–0100%0.05
fachwerk—10–10%0.04

Across the last 100 tracked matches.

Faceit stats

Combat

32Matches
56%Win rate
1.33Avg K/D
86.6ADR
44%Headshot %

Clutches & streaks

20%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke333%0.8717.7
Mirage333%0.9318.0
Dust21100%2.3626.0
Inferno1100%1.2918.0
Anubis1100%1.3615.0

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.

19.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.9%Spray accuracy
81.1%Counter-strafing
9.6°Preaim
547msReaction time
59.1%T opening success
41.5%CT opening success
0.52Enemies flashed / flash
5.0%Flash assists
9.77HE damage / grenade
8.25Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder2–130.0212%4 Nov →
dust27–130.0334%4 Nov →
nuke13–90.0021%4 Nov →
ancient13–50.028%4 Nov →
anubis13–80.0344%4 Nov →
office11–130.0412%3 Nov →
mirage9–130.0725%3 Nov →
cache6–130.0712%3 Nov →
ancient10–13-0.0219%2 Nov →
vertigo3–1-0.070%2 Nov →
boulder13–90.0716%2 Nov →
mirage3–13-0.038%31 Oct →
cache13–50.0713%31 Oct →
cache15–150.0112%29 Oct →
nuke4–13-0.0125%27 Oct →
mirage9–13-0.0121%27 Oct →
cache12–120.0416%27 Oct →
mirage3–130.0415%19 Oct →
cache2–13-0.0720%17 Oct →
vertigo8–13-0.0328%13 Oct →
train5–13-0.0332%13 Oct →
mirage13–60.0446%13 Oct →
ancient15–150.0216%13 Oct →
ancient9–13-0.0118%13 Oct →
mirage16–14-0.0412%7 Oct →
nuke13–80.1126%7 Oct →
train13–40.0515%7 Oct →
train13–50.1225%7 Oct →
inferno13–9-0.0124%7 Oct →
fachwerk6–130.047%4 Oct →
cache13–70.1816%4 Oct →
nuke13–80.0117%4 Oct →
inferno6–130.1115%3 Oct →
dust21–130.0623%3 Oct →
nuke13–90.2220%3 Oct →
office13–30.0144%30 Sept →
vertigo3–130.0016%30 Sept →
dust213–80.1026%30 Sept →
nuke8–13-0.0223%30 Sept →
inferno3–9-0.1214%30 Sept →
mirage13–40.0315%22 Sept →
inferno13–7-0.0220%22 Sept →
ancient13–40.028%14 Sept →
nuke5–130.0222%14 Sept →
inferno0–13-0.0210%14 Sept →
dust213–50.0627%14 Sept →
overpass13–80.0319%11 Sept →
office5–13-0.0235%11 Sept →
train13–50.0418%11 Sept →
vertigo12–120.0115%26 Aug →
mirage7–130.0415%26 Aug →
nuke9–60.0518%25 Aug →
ancient13–100.0710%24 Aug →
nuke13–9-0.019%24 Aug →
mirage13–30.0313%24 Aug →
cache13–4-0.0122%24 Aug →
inferno13–90.0310%24 Aug →
nuke16–140.0214%24 Aug →
inferno9–130.0312%24 Aug →
ancient13–70.0810%24 Aug →
anubis13–11-0.028%24 Aug →
cache3–13-0.0311%22 Aug →
office12–120.0326%20 Aug →
ancient13–90.0318%20 Aug →
cache6–130.0211%20 Aug →
inferno7–130.0222%20 Aug →
nuke13–20.0433%20 Aug →
cache13–100.0719%20 Aug →
ancient10–130.0712%20 Aug →
nuke5–13-0.0742%14 Aug →
cache6–13-0.018%14 Aug →
inferno13–110.0414%14 Aug →
boulder13–90.1213%10 Aug →
vertigo8–130.0415%4 Aug →
inferno13–90.0318%27 Jul →
train7–130.099%26 Jul →
vertigo12–120.079%28 May →
office7–130.0018%23 May →
mirage6–130.0218%23 May →
nuke6–130.0218%30 Apr →
ancient13–70.1533%23 Apr →
train6–130.0733%23 Apr →
train13–70.0224%23 Apr →
mirage5–13-0.0610%5 Apr →
nuke15–15-0.0325%1 Apr →
mirage12–12-0.0124%1 Apr →
nuke13–70.0728%1 Mar →
inferno15–15-0.0316%18 Jan →
nuke7–6-0.1214%18 Jan →
ancient7–13-0.0011%26 Dec →
inferno13–60.0620%22 Dec →
ancient9–13-0.0214%26 Oct →
office7–13-0.0623%25 Apr →
overpass13–50.0720%21 Apr →
nuke3–13-0.0540%21 Apr →
anubis13–90.0416%20 Apr →
vertigo13–70.0716%10 Apr →
anubis13–80.0312%7 Apr →
inferno0–13-0.0819%23 Mar →
inferno16–13-0.0210%20 Mar →

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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