Ole PuT

Ole PuT — CS2 Stats

76561198278443229[U:1:318177501]Steam profile ↗✓ No bans

1,227Tracked matches26%Win rate2020Tracked since
CSDB Rating3.8 LearningSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,669 -1,331 1 Apr – 28 Apr · 9 days played
13,66915,203peak 15,2031 Apr28 Apr
15,203Peak Premier in tracked matches
44Days played since 2025-03-31

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

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CSDB.GGOle PuTFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning40
Utility57

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateLWLLLTWLWT

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −5.2pp headshot accuracy · +41ms 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 -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 705ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 690ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 669ms

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 (+1.7 against its own average).

Aim3.6
Utility5.7
Positioning4.0
Opening Duels2.4
Clutch4.0

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 70% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 707ms 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

Aim3.6
Positioning4.0
Utility5.7
Mechanics5.6
Opening Duels2.0
Win Impact0.0

Composite 3.8/10 (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-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time695ms+32ms
first ⅓ avg 663ms → last ⅓ avg 695ms
Headshot accuracy18.3%+5.4%
first ⅓ avg 12.9% → last ⅓ avg 18.3%

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

0.27Best match rating · 13–0 · ancient, 1 Apr →
40%Best headshot accuracy · 0–13 · mirage, 31 Dec →
469msFastest reaction time · 7–13 · inferno, 24 Apr →
13–0Biggest win · ancient, 1 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 47% over 15mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2410–1442%-0.01
ancientB157–847%0.03
anubisC145–936%-0.00
dust2C146–843%-0.01
mirageD124–833%-0.01
nukeB115–645%-0.00
train—41–325%-0.00
overpass—31–233%-0.02
vertigo—21–150%-0.04
cache—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

429Matches
50%Win rate
1.00Avg K/D
76.4ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis7962%1.1115.2
Inferno6644%1.0915.9
Mirage6359%1.1716.9
Vertigo6154%1.0314.4
Ancient4154%1.1314.6
Nuke2450%0.9714.5
Dust22326%0.8913.3
Overpass425%1.0215.8

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.

17.8%Headshot accuracy
29.6%Accuracy (enemy spotted)
33.9%Spray accuracy
75.3%Counter-strafing
12.4°Preaim
707msReaction time
26.6%T opening success
45.6%CT opening success
0.55Enemies flashed / flash
7.7%Flash assists
8.58HE damage / grenade
9.39Flashes / 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 12.3999° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.949ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Mirage

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0015%23 May →
mirage13–8-0.048%16 May →
cache5–13-0.0610%16 May →
ancient2–10-0.0120%28 Apr →
inferno4–13-0.0719%28 Apr →
ancient12–120.0314%22 Apr →
inferno13–10-0.029%18 Apr →
anubis14–16-0.0311%18 Apr →
dust213–11-0.0524%18 Apr →
inferno12–12-0.0211%16 Apr →
nuke10–130.0324%16 Apr →
ancient12–16-0.0214%8 Feb →
inferno8–13-0.0219%8 Feb →
mirage11–13-0.018%8 Feb →
anubis8–130.0416%17 Jan →
inferno13–6-0.0427%16 Jan →
mirage0–13-0.0640%31 Dec →
inferno7–13-0.0716%31 Dec →
nuke7–130.0113%31 Dec →
inferno13–40.0118%27 Dec →
ancient12–12-0.0136%27 Dec →
vertigo13–30.0020%27 Dec →
train9–13-0.0317%25 Dec →
dust26–13-0.0415%25 Dec →
inferno6–13-0.0222%25 Dec →
inferno6–9-0.1825%23 Dec →
dust28–13-0.0229%22 Dec →
ancient13–80.0818%22 Dec →
train13–16-0.0522%22 Dec →
ancient5–13-0.0423%22 Dec →
mirage6–13-0.0110%22 Dec →
inferno1–13-0.1221%21 Dec →
nuke13–8-0.0311%21 Dec →
dust213–6-0.0227%20 Dec →
nuke6–9-0.0011%20 Dec →
overpass9–13-0.0123%19 Dec →
dust213–80.0722%17 Dec →
inferno13–70.0119%17 Dec →
dust213–7-0.0131%15 Dec →
overpass13–7-0.0510%15 Dec →
anubis10–130.0626%22 Jun →
dust27–13-0.0727%26 May →
inferno8–80.0435%28 Apr →
nuke7–13-0.056%28 Apr →
nuke11–13-0.0411%27 Apr →
inferno8–13-0.0417%26 Apr →
inferno10–130.0018%25 Apr →
anubis13–70.028%24 Apr →
anubis10–13-0.0311%24 Apr →
inferno7–13-0.0111%24 Apr →
vertigo3–13-0.0810%23 Apr →
nuke13–70.0116%23 Apr →
ancient13–70.076%22 Apr →
inferno13–5-0.0416%22 Apr →
anubis13–80.0323%22 Apr →
mirage13–10-0.019%21 Apr →
dust211–13-0.0113%21 Apr →
ancient8–13-0.0414%20 Apr →
dust212–120.0212%20 Apr →
anubis13–4-0.0216%19 Apr →
overpass11–130.0114%19 Apr →
ancient13–20.1212%19 Apr →
mirage6–13-0.0110%19 Apr →
nuke13–70.0417%19 Apr →
nuke13–100.0118%18 Apr →
mirage2–13-0.0918%18 Apr →
dust23–130.007%18 Apr →
anubis13–60.099%18 Apr →
inferno13–90.0210%18 Apr →
train8–130.0013%18 Apr →
dust212–12-0.0112%17 Apr →
ancient13–8-0.0317%17 Apr →
train13–40.0515%17 Apr →
mirage9–13-0.0016%17 Apr →
dust213–60.1117%16 Apr →
anubis13–110.027%16 Apr →
anubis15–15-0.0112%16 Apr →
ancient8–13-0.0212%16 Apr →
inferno6–90.0213%15 Apr →
inferno9–60.006%14 Apr →
inferno9–50.2014%14 Apr →
ancient12–10.0715%14 Apr →
anubis13–16-0.0122%11 Apr →
mirage13–60.0816%11 Apr →
nuke13–7-0.0214%11 Apr →
mirage10–13-0.0111%10 Apr →
inferno13–110.1316%10 Apr →
mirage13–70.0113%8 Apr →
anubis9–13-0.109%8 Apr →
dust23–13-0.055%8 Apr →
inferno13–11-0.0012%5 Apr →
dust213–7-0.0517%5 Apr →
inferno14–160.0012%4 Apr →
nuke12–120.0011%4 Apr →
anubis9–130.0221%3 Apr →
ancient13–8-0.0416%3 Apr →
anubis9–13-0.0810%1 Apr →
inferno5–130.020%1 Apr →
ancient13–00.2714%1 Apr →
ancient10–13-0.0217%31 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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