bole

bole — CS2 Stats

BO76561199305837137[U:1:1345571409]Steam profile ↗✓ No bans

859Tracked matches37%Win rate2023Tracked since
2,057Hours in CS
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 5 · 1,119 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGboleFACEITLevel 5 · 1,119 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLLLLWLWLWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −79ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 620ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 596ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 636ms

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 (+0.9 against its own average).

Aim6.7
Utility6.0
Positioning6.2
Opening Duels4.3
Clutch4.6

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 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 642ms 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

Aim6.7
Positioning6.2
Utility6.0
Mechanics7.5
Opening Duels3.9
Win Impact0.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time646ms−33ms
first ⅓ avg 678ms → last ⅓ avg 646ms
Headshot accuracy16.5%−4.8%
first ⅓ avg 21.3% → last ⅓ avg 16.5%

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 · 13–1 · dust2, 28 Aug →
52%Best headshot accuracy · 6–13 · mirage, 18 Apr →
438msFastest reaction time · 8–13 · ancient, 17 Sept →
13–1Biggest win · dust2, 28 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
5–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 58% over 12mirageWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.04
mirageD193–1616%0.01
ancientC176–1135%-0.01
nukeA127–558%-0.02
infernoA95–456%0.01
cacheD72–529%0.01
anubisD62–433%-0.03
overpass—22–0100%0.02
vertigo—10–10%0.06
train—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (16% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,209Lifetime kills
1.18K/D
2,306Matches
47.7%Match win rate
55.9%Headshot %
8.3%Shot accuracy
5,440MVPs
2,057Hours (in match)
1,331Bombs planted
784Bombs defused

Most-used weapons

Lifetime map wins

7,082dust2
664inferno
573vertigo
383nuke
259office
187lake
181train
49ar_shoots

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

Faceit stats

Combat

21Matches
62%Win rate
1.02Avg K/D
65.4ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage956%0.689.0
Ancient5100%1.3814.2
Anubis250%1.0612.5
Dust22100%1.6819.5
Nuke20%0.8813.0
Vertigo10%1.1219.0

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.

16.4%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.3%Spray accuracy
83.8%Counter-strafing
9.9°Preaim
642msReaction time
43.0%T opening success
48.4%CT opening success
0.53Enemies flashed / flash
7.0%Flash assists
11.02HE damage / grenade
10.06Flashes / match

Recommended for you

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.

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0117%30 Oct →
mirage1–13-0.0312%1 Oct →
ancient11–13-0.0222%1 Oct →
mirage9–130.0415%27 Sept →
dust213–90.1320%20 Sept →
nuke9–13-0.0210%20 Sept →
nuke8–4-0.085%20 Sept →
ancient2–130.019%19 Sept →
nuke13–110.0124%17 Sept →
ancient8–13-0.0810%17 Sept →
nuke13–8-0.0110%17 Sept →
dust213–40.0223%16 Sept →
ancient16–120.0524%14 Sept →
inferno2–13-0.0311%12 Sept →
nuke13–9-0.0216%12 Sept →
cache10–130.019%11 Sept →
dust214–16-0.0523%10 Sept →
cache9–130.0010%8 Sept →
dust213–50.0213%8 Sept →
ancient8–130.0325%6 Sept →
mirage5–130.0015%5 Sept →
mirage9–13-0.0115%5 Sept →
mirage7–130.0319%4 Sept →
dust213–50.0421%30 Aug →
mirage10–130.026%30 Aug →
inferno13–10-0.0114%28 Aug →
dust213–10.2225%28 Aug →
dust211–130.0312%23 Aug →
dust29–130.0524%22 Aug →
dust23–130.0121%20 Aug →
dust29–130.0321%20 Aug →
dust29–13-0.0323%18 Aug →
mirage13–110.0319%9 Aug →
inferno8–130.0520%19 Jul →
dust213–90.0115%12 Jul →
cache13–80.0515%12 Jul →
dust213–80.0714%11 Jul →
cache11–13-0.0111%11 Jul →
mirage4–13-0.0218%11 Jul →
ancient7–13-0.0613%11 Jul →
mirage2–13-0.055%8 Jul →
nuke13–8-0.0115%8 Jul →
nuke13–40.0110%5 Jul →
mirage5–13-0.0321%5 Jul →
cache13–60.058%4 Jul →
dust213–90.0715%28 Jun →
ancient13–100.0410%28 Jun →
dust210–13-0.0210%27 Jun →
ancient13–110.0510%27 Jun →
inferno13–20.0413%27 Jun →
dust213–80.0218%27 Jun →
overpass13–90.0419%27 Jun →
mirage1–13-0.0034%27 Jun →
dust213–100.0520%27 Jun →
mirage4–13-0.0019%26 Jun →
nuke6–13-0.0316%21 Jun →
vertigo12–120.0619%21 Jun →
mirage13–70.0410%19 Jun →
train9–13-0.0415%18 Jun →
anubis13–90.0127%18 Jun →
inferno13–80.0425%17 Jun →
overpass16–13-0.0027%13 Jun →
ancient11–13-0.0220%13 Jun →
ancient5–13-0.0416%13 Jun →
anubis6–13-0.1019%13 Jun →
inferno11–130.0316%13 Jun →
anubis5–13-0.0728%9 Jun →
ancient13–100.0122%7 Jun →
dust213–80.0727%7 Jun →
ancient6–13-0.0213%6 Jun →
dust25–100.0425%5 Jun →
anubis13–110.0617%5 Jun →
dust215–150.0115%24 May →
mirage13–60.1433%24 May →
ancient10–130.0212%23 May →
dust29–130.0213%22 May →
inferno13–8-0.0116%20 May →
dust213–80.0214%20 May →
nuke8–13-0.0413%16 May →
mirage9–130.0224%13 May →
mirage11–130.008%10 May →
nuke9–130.0124%10 May →
inferno13–100.0017%10 May →
ancient13–6-0.0521%9 May →
mirage11–130.0019%7 May →
ancient13–6-0.0115%7 May →
anubis3–13-0.1032%7 May →
ancient9–13-0.0416%3 May →
dust213–2-0.0116%3 May →
cache2–13-0.0717%3 May →
anubis13–160.0421%1 May →
dust26–130.0030%29 Apr →
cache4–130.0318%29 Apr →
nuke13–11-0.0120%25 Apr →
mirage6–13-0.0252%18 Apr →
nuke9–13-0.0229%18 Apr →
inferno4–13-0.0024%18 Apr →
ancient8–13-0.0125%16 Apr →
dust28–130.1231%11 Apr →
dust211–13-0.0221%11 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.