12

12 — CS2 Stats

76561199844870720[U:1:1884604992]Steam profile ↗✓ No bans

386Tracked matches43%Win rate2025Tracked since
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating3,590Grey band · top ~84.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+154Premier CS Rating · 3,436 → 3,590

Rating over time

Premier CS Rating: 3,590 -6,409 22 Sept – 4 Nov · 24 days played
1,0009,999peak 9,99922 Sept4 Nov
9,999Peak Premier in tracked matches
27Days played since 2026-09-22

Premier CS Rating

  • 6,409 below peak (9,999)
  • +2,590 over 30 days · improving
  • Next: Light Blue band at 5,000 — 1,410 to go
  • Reached: Light Blue band

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

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CSDB.GG12PREMIER3,590 · Grey bandcsdb.gg/stats

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Performance scores

Aim76
Positioning63
Utility63

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateWTLLWLLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · +29ms reaction

Win rate down 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 34%
  • Avg reaction 694ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 758ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 31%
  • Avg reaction 743ms

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.

Aim7.6
Utility6.3
Positioning6.3
Opening Duels4.7

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

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 699ms 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

Aim7.6
Positioning6.3
Utility6.3
Mechanics7.3
Opening Duels5.6
Win Impact2.6

Composite 5.8/10 (Solid), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time718ms+65ms
first ⅓ avg 653ms → last ⅓ avg 718ms
Headshot accuracy33.1%+4.7%
first ⅓ avg 28.4% → last ⅓ avg 33.1%

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

0.20Best match rating · 13–8 · anubis, 5 Oct →
58%Best headshot accuracy · 13–8 · inferno, 28 Sept →
453msFastest reaction time · 11–13 · vertigo, 23 Sept →
13–1Biggest win · dust2, 27 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 80% over 5cacheWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.01
mirageD195–1426%0.02
infernoD155–1033%0.02
cacheD132–1115%-0.02
ancientD102–820%-0.01
nukeD92–722%0.00
anubisA53–260%0.05
trainS54–180%0.05
vertigo—32–167%0.06

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

32.2%Headshot accuracy
35.5%Accuracy (enemy spotted)
32.9%Spray accuracy
83.0%Counter-strafing
10.2°Preaim
699msReaction time
54.2%T opening success
50.7%CT opening success
0.48Enemies flashed / flash
13.9%Flash assists
6.86HE damage / grenade
14.43Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4778 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–40.0433%4 Nov →
mirage15–150.0537%3 Nov →
cache11–13-0.0319%3 Nov →
dust27–130.0536%3 Nov →
dust213–80.1243%30 Oct →
dust23–8-0.0454%30 Oct →
mirage3–130.0142%30 Oct →
nuke13–110.0621%30 Oct →
dust211–13-0.0227%29 Oct →
cache0–2-0.110%29 Oct →
anubis13–5-0.0312%29 Oct →
dust210–130.0625%29 Oct →
mirage13–70.0831%28 Oct →
anubis8–13-0.0331%27 Oct →
dust213–10.1341%27 Oct →
mirage13–7-0.0242%27 Oct →
anubis13–50.1219%23 Oct →
cache10–13-0.0238%23 Oct →
ancient7–13-0.0526%23 Oct →
dust213–90.0050%23 Oct →
cache7–13-0.0815%22 Oct →
cache3–130.0220%22 Oct →
mirage14–16-0.0528%22 Oct →
mirage5–13-0.0329%22 Oct →
dust212–12-0.0019%22 Oct →
dust27–13-0.0439%17 Oct →
dust213–5-0.0445%17 Oct →
nuke13–70.0324%17 Oct →
inferno10–130.0356%16 Oct →
mirage13–50.0448%16 Oct →
cache10–130.0156%16 Oct →
cache16–14-0.0231%16 Oct →
dust213–10.0454%14 Oct →
ancient11–13-0.0520%14 Oct →
inferno13–4-0.0127%14 Oct →
cache15–15-0.0014%14 Oct →
inferno8–30.0417%14 Oct →
ancient5–130.0035%14 Oct →
inferno13–50.1318%13 Oct →
nuke8–13-0.0326%12 Oct →
train13–60.0621%12 Oct →
dust26–13-0.0812%12 Oct →
cache4–90.0120%10 Oct →
train13–100.1126%8 Oct →
train13–60.0726%7 Oct →
train4–130.0223%7 Oct →
anubis13–80.2018%5 Oct →
mirage13–100.1036%5 Oct →
mirage9–13-0.0322%4 Oct →
inferno10–130.0227%4 Oct →
cache5–110.0115%2 Oct →
train13–100.0118%2 Oct →
mirage14–16-0.0427%2 Oct →
mirage7–13-0.0022%2 Oct →
nuke5–130.0341%2 Oct →
cache4–11-0.0441%2 Oct →
inferno6–130.0529%2 Oct →
cache13–110.0525%1 Oct →
dust214–160.0120%1 Oct →
inferno6–130.0322%1 Oct →
cache8–13-0.0632%30 Sept →
mirage5–130.0250%30 Sept →
inferno10–130.0137%30 Sept →
mirage13–70.1425%30 Sept →
ancient9–13-0.0121%30 Sept →
dust213–110.0249%30 Sept →
dust211–13-0.0450%30 Sept →
mirage7–13-0.0326%29 Sept →
nuke5–13-0.0430%29 Sept →
ancient0–13-0.060%29 Sept →
mirage10–130.0328%29 Sept →
inferno4–130.0129%29 Sept →
inferno13–70.0839%28 Sept →
inferno13–80.0158%28 Sept →
inferno7–130.0036%28 Sept →
inferno9–13-0.0344%28 Sept →
dust23–13-0.0329%28 Sept →
mirage6–13-0.0625%28 Sept →
ancient13–7-0.0733%28 Sept →
nuke9–130.0929%28 Sept →
nuke2–13-0.0317%28 Sept →
ancient4–13-0.0127%28 Sept →
inferno11–13-0.0825%28 Sept →
dust23–13-0.0032%28 Sept →
dust24–00.0650%25 Sept →
mirage10–130.0526%25 Sept →
dust27–130.0019%25 Sept →
mirage10–12-0.0434%25 Sept →
nuke0–13-0.0331%25 Sept →
dust213–7-0.0323%25 Sept →
anubis6–130.0018%25 Sept →
nuke10–13-0.0439%25 Sept →
inferno9–13-0.0327%25 Sept →
ancient12–120.0325%25 Sept →
mirage5–130.1229%24 Sept →
vertigo13–100.1224%23 Sept →
ancient6–130.0619%23 Sept →
vertigo13–50.0620%23 Sept →
vertigo11–13-0.0126%23 Sept →
dust213–100.0821%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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