DIVISION

DIVISION — CS2 Stats

76561199054237198[U:1:1093971470]Steam profile ↗✓ No bans

1,161Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating11,367Blue band · top ~47.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 11,367 -1,335 3 Sept – 14 Nov · 49 days played
10,94814,674peak 14,6743 Sept14 Nov
14,923Peak Premier in tracked matches
48Days played since 2026-09-03

Premier CS Rating

  • 3,307 below peak (14,674)
  • -604 over 30 days · declining
  • Next: Purple band at 15,000 — 3,633 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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

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Performance scores

Aim60
Positioning66
Utility43

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLTLLWWLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −2.7pp headshot accuracy · +66ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 653ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.6 against its own average).

Aim6.0
Utility4.3
Positioning6.6
Opening Duels4.9
Clutch10.0

Reliable in 1v1s

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 91% 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. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0
Positioning6.6
Utility4.3
Mechanics4.3
Opening Duels6.5
Win Impact5.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time546ms+24ms
first ⅓ avg 523ms → last ⅓ avg 546ms
Headshot accuracy14.8%−3.2%
first ⅓ avg 18.0% → last ⅓ avg 14.8%

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

0.12Best match rating · 13–5 · cache, 1 Nov →
38%Best headshot accuracy · 13–2 · mirage, 18 Sept →
375msFastest reaction time · 13–11 · inferno, 12 Sept →
13–0Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
10–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%0.01
dust2B179–853%0.00
ancientD155–1033%-0.01
anubisB147–750%-0.02
nukeA127–558%0.01
infernoD124–833%-0.03
cacheS64–267%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.50Avg K/D
53.5ADR
22%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

15.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
32.6%Spray accuracy
69.5%Counter-strafing
8.1°Preaim
556msReaction time
55.6%T opening success
56.8%CT opening success
0.55Enemies flashed / flash
1.7%Flash assists
8.93HE damage / grenade
6.44Flashes / match

Recommended for you

Spend your practice time on Ancient

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 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0411%14 Nov →
dust211–13-0.0118%13 Nov →
anubis5–13-0.044%12 Nov →
nuke15–150.0018%12 Nov →
mirage8–13-0.0310%12 Nov →
mirage6–130.049%9 Nov →
dust213–11-0.0123%9 Nov →
mirage13–50.0619%8 Nov →
inferno4–13-0.036%8 Nov →
ancient7–130.0321%8 Nov →
inferno14–16-0.0721%8 Nov →
inferno13–8-0.0314%7 Nov →
mirage5–13-0.0422%7 Nov →
dust23–13-0.069%5 Nov →
cache13–50.0117%3 Nov →
nuke14–160.0113%2 Nov →
ancient4–13-0.0921%1 Nov →
mirage13–50.0513%1 Nov →
inferno13–6-0.0316%1 Nov →
mirage13–70.0319%1 Nov →
dust213–4-0.0120%1 Nov →
anubis3–130.0211%1 Nov →
cache13–50.1217%1 Nov →
dust213–9-0.0014%31 Oct →
dust213–80.0415%31 Oct →
mirage16–140.0413%31 Oct →
nuke9–130.0815%30 Oct →
nuke13–9-0.038%30 Oct →
mirage15–150.0520%29 Oct →
dust213–00.0922%29 Oct →
nuke13–110.024%28 Oct →
mirage13–60.045%28 Oct →
mirage13–100.0019%28 Oct →
cache8–13-0.0314%28 Oct →
ancient13–40.1013%27 Oct →
cache14–16-0.0612%26 Oct →
dust25–13-0.0713%25 Oct →
mirage13–70.0619%25 Oct →
inferno13–110.1022%24 Oct →
ancient3–130.0015%24 Oct →
anubis8–13-0.0312%22 Oct →
nuke13–11-0.0114%21 Oct →
dust24–13-0.0911%21 Oct →
ancient11–13-0.0610%20 Oct →
dust215–150.0514%18 Oct →
ancient13–90.016%18 Oct →
cache13–7-0.0426%17 Oct →
ancient14–16-0.054%17 Oct →
nuke13–6-0.0415%16 Oct →
mirage16–120.0116%16 Oct →
anubis4–13-0.0712%13 Oct →
anubis11–13-0.018%13 Oct →
mirage11–130.0017%12 Oct →
ancient13–110.0411%12 Oct →
inferno10–13-0.043%11 Oct →
mirage10–130.0020%11 Oct →
anubis6–13-0.0710%11 Oct →
anubis6–1-0.020%11 Oct →
ancient16–14-0.0011%10 Oct →
inferno6–13-0.0313%10 Oct →
dust29–130.0229%9 Oct →
ancient8–13-0.0616%8 Oct →
dust213–11-0.0016%4 Oct →
mirage7–130.0315%4 Oct →
mirage10–130.0116%3 Oct →
inferno14–16-0.0312%3 Oct →
dust25–13-0.030%2 Oct →
ancient13–50.0919%2 Oct →
dust213–40.0317%30 Sept →
anubis13–70.0128%30 Sept →
mirage14–16-0.0324%29 Sept →
inferno13–16-0.008%28 Sept →
cache13–80.0622%28 Sept →
dust213–100.0014%28 Sept →
anubis13–100.0613%26 Sept →
nuke13–80.019%26 Sept →
mirage10–1-0.020%26 Sept →
nuke11–130.0712%24 Sept →
dust213–40.0533%24 Sept →
mirage2–13-0.0214%21 Sept →
ancient15–15-0.0817%20 Sept →
mirage13–4-0.1011%20 Sept →
inferno3–13-0.1025%20 Sept →
nuke13–7-0.0535%20 Sept →
ancient4–13-0.0225%20 Sept →
anubis13–11-0.0215%19 Sept →
mirage13–90.0722%18 Sept →
nuke13–70.068%18 Sept →
mirage13–2-0.0238%18 Sept →
anubis13–2-0.025%17 Sept →
inferno8–13-0.0323%16 Sept →
ancient14–16-0.0023%13 Sept →
anubis13–10-0.0518%12 Sept →
inferno13–11-0.0213%12 Sept →
mirage13–9-0.0617%12 Sept →
mirage13–60.0018%10 Sept →
nuke9–13-0.019%6 Sept →
anubis13–10-0.0228%6 Sept →
ancient12–16-0.0613%6 Sept →
dust27–130.0120%6 Sept →

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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