SoWhat

SoWhat — CS2 Stats

76561199378948681[U:1:1418682953]Steam profile ↗✓ No bans

213Tracked matches41%Win rate2025Tracked since
CSDB Rating3.4 LearningPositional Player
Ladder ranks via Leetify

Rating over time

3,637Peak Premier in tracked matches
43Days played since 2025-09-16

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

Performance scores

Aim32
Positioning52
Utility32

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateLLLLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −36ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 658ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 637ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 655ms

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 (+1.8 against its own average).

Aim3.2
Utility3.2
Positioning5.2
Opening Duels1.9

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

donk

Plays most like donk 70% 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. 649ms 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

Aim3.2
Positioning5.2
Utility3.2
Mechanics4.3
Opening Duels0.6
Win Impact1.9

Composite 3.4/10 (Learning), 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 rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time652ms−50ms
first ⅓ avg 702ms → last ⅓ avg 652ms
Headshot accuracy14.9%−0.3%
first ⅓ avg 15.3% → last ⅓ avg 14.9%

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

0.10Best match rating · 13–2 · dust2, 5 Nov →
50%Best headshot accuracy · 12–1 · mirage, 22 Sept →
422msFastest reaction time · 4–13 · dust2, 13 May →
13–2Biggest win · dust2, 4 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
5–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 50% over 6mirageWeakest map · 27% over 26
MapGradePlayedRecordWin rateAvg rating
dust2B6530–3546%-0.02
mirageD267–1927%-0.03
infernoB63–350%0.00
cache—10–10%-0.03
nuke—11–0100%0.01
overpass—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.2%Headshot accuracy
28.9%Accuracy (enemy spotted)
27.9%Spray accuracy
69.5%Counter-strafing
11.2°Preaim
649msReaction time
29.2%T opening success
34.8%CT opening success
0.63Enemies flashed / flash
4.8%Flash assists
4.46HE damage / grenade
5.16Flashes / 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. 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 29.2392% — below the 40% mark we flag

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.

27% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0911%28 Jul →
mirage3–13-0.0917%28 Jul →
inferno4–130.0314%28 Jul →
dust28–130.0318%27 Jul →
dust211–130.0610%2 Jul →
dust213–10-0.0216%2 Jul →
inferno6–13-0.0316%29 Jun →
dust213–40.0531%29 Jun →
dust210–130.0113%24 Jun →
dust23–13-0.047%21 Jun →
dust212–12-0.0316%21 Jun →
mirage13–80.0315%20 Jun →
mirage13–80.1021%16 Jun →
dust26–13-0.0132%16 Jun →
dust213–9-0.0213%16 Jun →
dust29–2-0.024%8 Jun →
dust211–4-0.0212%8 Jun →
dust212–120.0417%7 Jun →
dust25–130.0113%7 Jun →
dust25–13-0.0321%7 Jun →
mirage1–13-0.077%7 Jun →
inferno12–90.059%7 Jun →
inferno5–13-0.0014%16 May →
mirage8–13-0.0013%16 May →
mirage13–40.1025%16 May →
dust212–12-0.0515%15 May →
dust213–11-0.0116%15 May →
mirage5–130.0314%15 May →
inferno9–10.035%15 May →
dust211–13-0.0812%15 May →
dust213–5-0.0426%15 May →
mirage11–13-0.0213%13 May →
dust24–13-0.078%13 May →
dust211–13-0.0518%7 May →
cache6–13-0.0316%6 May →
mirage7–13-0.0317%6 May →
dust26–13-0.0527%6 May →
dust213–60.0314%4 May →
dust213–70.0723%4 May →
dust26–13-0.0522%4 May →
dust213–20.0610%4 May →
mirage3–13-0.0811%26 Mar →
dust210–130.0420%10 Mar →
mirage13–4-0.0620%10 Mar →
dust213–8-0.0511%29 Dec →
dust213–7-0.0620%29 Dec →
dust210–13-0.0812%17 Dec →
nuke13–110.0114%17 Dec →
dust210–13-0.0426%17 Dec →
mirage12–12-0.0410%17 Dec →
dust213–11-0.0732%1 Dec →
dust213–9-0.0533%21 Nov →
dust213–4-0.049%19 Nov →
mirage7–13-0.0219%19 Nov →
dust24–13-0.0616%19 Nov →
dust213–11-0.0622%19 Nov →
dust24–13-0.1013%19 Nov →
mirage7–13-0.067%18 Nov →
dust27–13-0.0421%18 Nov →
mirage11–13-0.0721%12 Nov →
dust210–13-0.0526%12 Nov →
dust24–13-0.0215%8 Nov →
mirage8–13-0.0924%5 Nov →
mirage13–110.0115%5 Nov →
dust213–20.1025%5 Nov →
mirage8–13-0.0722%31 Oct →
dust212–120.0527%31 Oct →
overpass7–13-0.0814%29 Oct →
mirage9–13-0.0717%29 Oct →
dust29–13-0.0910%29 Oct →
dust24–13-0.0614%29 Oct →
dust212–12-0.0610%29 Oct →
dust213–100.017%29 Oct →
dust210–00.0025%26 Oct →
dust29–13-0.0511%24 Oct →
mirage3–13-0.058%24 Oct →
dust213–4-0.0215%23 Oct →
dust210–13-0.0323%23 Oct →
mirage8–13-0.0321%22 Oct →
dust210–13-0.0231%19 Oct →
dust213–50.028%19 Oct →
dust213–2-0.0320%15 Oct →
dust213–8-0.039%15 Oct →
dust213–90.0515%12 Oct →
inferno13–6-0.066%9 Oct →
dust27–13-0.0314%9 Oct →
dust213–60.0310%9 Oct →
dust25–13-0.0713%1 Oct →
mirage7–13-0.0414%1 Oct →
dust212–120.0314%1 Oct →
dust28–130.0218%1 Oct →
dust24–13-0.048%1 Oct →
dust213–10-0.0113%24 Sept →
mirage12–10.0050%22 Sept →
dust213–100.0423%22 Sept →
mirage13–9-0.037%22 Sept →
mirage12–12-0.0612%19 Sept →
dust213–70.0717%17 Sept →
dust213–50.0314%17 Sept →
dust213–30.0014%16 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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