The Divine Klint¿?

The Divine Klint¿? — CS2 Stats

BL76561198004799789[U:1:44534061]Steam profile ↗✓ No bans

558Tracked matches63%Win rate2022Tracked since
11,274Hours in CS
CSDB Rating6.4 SolidAll-Rounder
Ladder ranks via Leetify

Rating over time

15,710Peak Premier in tracked matches
51Days played since 2024-09-07

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

Performance scores

Aim69
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateWLWLWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · −63ms 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 15%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.9
Utility5.4
Positioning5.3
Opening Duels4.8

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

device

Plays most like device 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Reaction time. 578ms 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

Aim6.9
Positioning5.3
Utility5.4
Mechanics7.5
Opening Duels4.5
Win Impact9.3

Composite 6.4/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time561ms−39ms
first ⅓ avg 600ms → last ⅓ avg 561ms
Headshot accuracy19.6%−1.6%
first ⅓ avg 21.1% → last ⅓ avg 19.6%

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

0.13Best match rating · 8–1 · overpass, 19 Oct →
43%Best headshot accuracy · 13–9 · cache, 29 Apr →
422msFastest reaction time · 13–9 · inferno, 26 Oct →
13–1Biggest win · vertigo, 30 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
2–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
mirageD279–1833%-0.01
infernoS128–467%0.03
overpassA127–558%0.02
trainS129–375%0.00
nukeA106–460%0.02
dust2S96–367%-0.00
anubisS65–183%0.02
ancient—42–250%0.02
cache—32–167%0.00
vertigo—31–233%0.08
agency—21–150%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,323Lifetime kills
0.93K/D
7,369Matches
31.2%Match win rate
49.7%Headshot % · Top 25% of tracked players
16.4%Shot accuracy · Top 25% of tracked players
19,751MVPs
11,274Hours (in match)
4,129Bombs planted
3,250Bombs defused

Most-used weapons

AK-4742,123
AWP21,233
P2502,984
SSG 082,459
Tec-92,094

Lifetime map wins

6,458inferno
3,698dust2
3,158nuke
2,929train
1,475cbble
963vertigo
210office
183assault

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

Faceit stats

Combat

191Matches
49%Win rate
1.36Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.1117.4
Vertigo250%1.3721.0
Nuke20%0.8517.0

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.

18.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.4%Spray accuracy
83.7%Counter-strafing
10.5°Preaim
578msReaction time
43.0%T opening success
53.0%CT opening success
0.50Enemies flashed / flash
9.5%Flash assists
8.93HE damage / grenade
8.23Flashes / 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.

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0020%28 Oct →
mirage10–13-0.103%28 Oct →
inferno13–90.1121%26 Oct →
mirage10–130.0617%15 Jul →
cache13–70.0515%16 May →
cache9–13-0.0410%29 Apr →
cache13–90.0043%29 Apr →
ancient13–50.0736%15 Dec →
dust28–30.0530%15 Dec →
inferno1–6-0.120%13 Nov →
vertigo13–10.1122%30 Oct →
mirage8–130.0721%30 Oct →
mirage13–70.0623%20 Oct →
dust24–13-0.0419%13 Oct →
mirage12–12-0.0315%26 Sept →
vertigo8–130.0626%26 Sept →
mirage13–11-0.0413%20 Sept →
inferno13–20.0719%20 Sept →
overpass10–120.0525%2 Aug →
overpass13–110.014%1 Aug →
overpass1–6-0.0733%16 Jul →
anubis13–4-0.0610%29 Jun →
train13–1-0.039%29 Jun →
train12–12-0.0119%19 Jun →
mirage12–12-0.0016%19 Jun →
nuke13–50.0221%16 Jun →
dust213–100.0113%16 Jun →
mirage6–10.007%16 Jun →
inferno7–130.0630%16 Jun →
agency13–5-0.0116%16 Jun →
dust213–10-0.0228%13 Jun →
overpass1–13-0.0735%13 Jun →
mirage12–120.0130%13 Jun →
inferno6–130.0515%13 Jun →
agency12–120.0138%13 Jun →
anubis13–90.0634%13 Jun →
mirage13–50.0728%13 Jun →
ancient13–8-0.0113%2 Jun →
anubis13–30.0526%2 Jun →
mirage5–13-0.0730%2 Jun →
dust213–5-0.0412%2 Jun →
mirage13–100.0616%28 May →
train13–30.0617%28 May →
overpass13–100.0025%27 May →
nuke13–60.0533%27 May →
inferno7–13-0.0216%22 May →
mirage7–13-0.086%22 May →
overpass13–50.0815%22 May →
nuke13–40.0014%22 May →
vertigo12–120.0626%26 Apr →
train13–70.0118%26 Apr →
nuke13–50.0821%26 Apr →
overpass13–40.0410%18 Apr →
inferno13–6-0.0415%14 Apr →
anubis13–30.0820%14 Apr →
train13–50.0823%12 Apr →
overpass8–10.0211%12 Apr →
mirage10–13-0.0319%6 Apr →
dust22–13-0.0429%6 Apr →
nuke13–80.0234%6 Apr →
train13–7-0.0611%3 Apr →
nuke9–130.0224%18 Mar →
mirage11–130.0114%18 Mar →
ancient2–13-0.0418%3 Mar →
mirage9–130.0113%13 Feb →
inferno9–20.0918%13 Feb →
mirage9–130.0223%9 Feb →
train13–30.0310%9 Feb →
train13–8-0.0431%30 Jan →
overpass9–13-0.0311%24 Jan →
ancient10–130.0413%24 Jan →
overpass7–130.0227%17 Jan →
inferno13–100.0121%17 Jan →
mirage13–6-0.0316%13 Jan →
train7–130.0220%13 Jan →
train13–90.0616%22 Nov →
train13–5-0.0419%22 Nov →
train6–13-0.0515%22 Nov →
mirage12–12-0.1232%31 Oct →
dust213–7-0.0124%31 Oct →
overpass8–10.1335%19 Oct →
nuke7–130.0521%18 Oct →
anubis13–8-0.0223%3 Oct →
inferno13–10.0420%2 Oct →
dust24–130.0013%2 Oct →
mirage4–13-0.0637%1 Oct →
nuke8–130.0112%30 Sept →
mirage13–20.0114%30 Sept →
mirage2–30.0317%30 Sept →
dust213–80.0715%25 Sept →
mirage13–60.0115%25 Sept →
mirage9–13-0.0133%23 Sept →
inferno13–40.0227%23 Sept →
overpass13–50.0621%10 Sept →
inferno3–00.030%10 Sept →
mirage5–130.0225%10 Sept →
mirage4–13-0.0413%9 Sept →
anubis3–11-0.0243%9 Sept →
mirage13–100.0023%8 Sept →
nuke4–9-0.0137%7 Sept →

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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