Divis

Divis — CS2 Stats

FI76561199075108716[U:1:1114842988]Steam profile ↗✓ No bans

508Tracked matches50%Win rate2023Tracked since
1,158Hours in CS22Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,280 +715 26 Jul – 8 Aug · 5 days played
7,5658,280peak 8,28026 Jul8 Aug
8,396Peak Premier in tracked matches
41Days played since 2025-04-11

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

Performance scores

Aim65
Positioning64
Utility35

0–100 skill scores via Leetify.

Recent form

COLD43–50–7Last 10043%Win rateLLWLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.10 avg rating · +3.5pp headshot accuracy · −64ms reaction

Win rate down 50pp 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 -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 607ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 639ms

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 (+2.3 against its own average).

Aim6.5
Utility3.5
Positioning6.4
Opening Duels2.7
Clutch4.0

Limited utility dependence

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

jL

Plays most like jL 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 653ms 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

Aim6.5
Positioning6.4
Utility3.5
Mechanics7.2
Opening Duels2.5
Win Impact5.0

Composite 5.6/10 (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 rating0.04+0.05
first ⅓ avg -0.01 → last ⅓ avg 0.04
Reaction time636ms−39ms
first ⅓ avg 674ms → last ⅓ avg 636ms
Headshot accuracy12.1%+2.3%
first ⅓ avg 9.9% → last ⅓ avg 12.1%

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

0.42Best match rating · 9–0 · sanctum, 5 Jul →
33%Best headshot accuracy · 9–0 · inferno, 11 Jul →
359msFastest reaction time · 3–9 · nuke, 20 Jul →
13–1Biggest win · cache, 19 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.03
nukeB158–753%0.02
ancientA117–464%0.02
infernoD92–722%0.00
cacheC94–544%-0.01
vertigoB84–450%-0.04
anubisB63–350%0.02
dust2C52–340%0.04
overpass—31–233%-0.01
poseidon—31–233%-0.01
train—20–20%-0.05
shelter—10–10%0.08
sanctum—11–0100%0.42
rooftop—10–10%0.06
office—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,658Lifetime kills
0.89K/D
1,601Matches
35.2%Match win rate
35.3%Headshot %
6.2%Shot accuracy
2,648MVPs
1,435Hours (in match)
1,064Bombs planted
255Bombs defused

Most-used weapons

Lifetime map wins

1,193nuke
1,169vertigo
993inferno
597dust2
222lake
152train
112office
18italy

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

Faceit stats

Combat

18Matches
33%Win rate
0.89Avg K/D
86.0ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke475%1.3618.5
Vertigo450%0.8813.0
Mirage40%0.7110.5
Ancient30%0.6815.3
Inferno20%0.487.5
Dust21100%1.1820.0

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.

12.4%Headshot accuracy
38.3%Accuracy (enemy spotted)
41.0%Spray accuracy
82.6%Counter-strafing
10.4°Preaim
653msReaction time
40.0%T opening success
40.0%CT opening success
0.59Enemies flashed / flash
3.9%Flash assists
7.41HE damage / grenade
3.59Flashes / 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. 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 12.4483% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5897 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.9705% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0325%17 Oct →
nuke7–13-0.079%9 Oct →
nuke9–20.1011%8 Oct →
inferno7–9-0.0119%8 Oct →
cache2–13-0.0115%3 Oct →
nuke7–13-0.048%3 Oct →
dust22–13-0.0917%3 Oct →
vertigo11–130.0028%4 Sept →
vertigo2–9-0.180%13 Aug →
mirage10–130.0813%8 Aug →
nuke13–80.0715%8 Aug →
mirage5–130.0319%5 Aug →
mirage9–130.1213%30 Jul →
ancient8–130.045%30 Jul →
nuke13–90.0413%30 Jul →
ancient13–80.1427%28 Jul →
mirage6–130.087%28 Jul →
cache13–8-0.005%26 Jul →
dust213–50.134%26 Jul →
mirage13–90.073%26 Jul →
nuke13–30.1913%26 Jul →
mirage13–100.0513%25 Jul →
overpass3–13-0.0014%25 Jul →
inferno13–70.0712%24 Jul →
mirage11–130.0410%24 Jul →
dust213–20.1210%24 Jul →
ancient13–50.0815%23 Jul →
mirage13–110.039%23 Jul →
mirage11–130.0913%22 Jul →
mirage13–7-0.0111%21 Jul →
mirage16–120.0610%20 Jul →
nuke3–9-0.035%20 Jul →
mirage14–160.079%20 Jul →
ancient13–50.0410%19 Jul →
cache13–10.0517%19 Jul →
shelter12–120.086%19 Jul →
ancient13–160.036%18 Jul →
dust25–13-0.038%17 Jul →
cache15–150.0215%13 Jul →
nuke13–50.1012%13 Jul →
mirage13–110.0210%13 Jul →
vertigo13–110.0114%12 Jul →
dust28–130.0614%12 Jul →
inferno10–130.046%12 Jul →
inferno1–9-0.2220%12 Jul →
poseidon6–9-0.0312%12 Jul →
mirage5–130.0428%12 Jul →
inferno9–00.3433%11 Jul →
nuke4–90.0811%11 Jul →
vertigo8–13-0.0513%8 Jul →
train5–13-0.0716%8 Jul →
mirage13–70.0312%8 Jul →
cache7–130.008%8 Jul →
train12–12-0.0319%7 Jul →
vertigo13–3-0.0019%7 Jul →
anubis7–13-0.0310%7 Jul →
nuke13–100.0620%6 Jul →
inferno8–13-0.0416%6 Jul →
poseidon8–80.0617%6 Jul →
nuke9–50.035%6 Jul →
mirage10–130.068%6 Jul →
mirage15–15-0.0613%5 Jul →
nuke6–9-0.1214%5 Jul →
sanctum9–00.4217%5 Jul →
vertigo4–130.0112%5 Jul →
mirage11–130.0211%5 Jul →
cache8–13-0.0919%4 Jul →
ancient3–13-0.058%4 Jul →
nuke4–13-0.049%4 Jul →
anubis13–30.0416%3 Jul →
mirage13–7-0.099%3 Jul →
ancient13–6-0.056%3 Jul →
cache13–10-0.029%3 Jul →
mirage9–130.0011%3 Jul →
cache13–90.0012%2 Jul →
inferno10–13-0.0810%2 Jul →
nuke13–7-0.097%2 Jul →
inferno5–13-0.0414%24 Jun →
ancient13–90.066%24 Jun →
vertigo9–7-0.0510%24 Jun →
overpass4–13-0.0213%17 Jun →
mirage13–20.0613%17 Jun →
mirage11–130.0013%17 Jun →
mirage13–20.013%17 Jun →
anubis13–50.045%17 Jun →
cache12–12-0.0015%16 Jun →
mirage4–130.0219%16 Jun →
mirage6–13-0.057%16 Jun →
nuke2–13-0.057%16 Jun →
ancient7–130.0314%29 Mar →
anubis5–130.0412%29 Mar →
poseidon9–4-0.055%13 Mar →
vertigo9–5-0.064%13 Mar →
rooftop8–80.062%4 Oct →
ancient13–6-0.0317%9 May →
ancient13–4-0.0418%29 Apr →
anubis8–20.115%15 Apr →
overpass13–7-0.0010%13 Apr →
office2–130.0213%13 Apr →
anubis2–13-0.084%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 →

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