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< blank > — CS2 Stats

US76561199839346714[U:1:1879080986]Steam profile ↗✓ No bans

374Tracked matches6%Win rate2025Tracked since
CSDB Rating1.8 LearningPositional Player
WingmanSilver I
Ladder ranks via Leetify

Performance scores

Aim5
Positioning18
Utility2

0–100 skill scores via Leetify.

Recent form

COLD38–50–12Last 10038%Win rateLLLLLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.06 avg rating · +2.8pp headshot accuracy · +245ms reaction

Win rate down 20pp 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 -0.06
  • Avg headshot accuracy 21%
  • Avg reaction 922ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 24%
  • Avg reaction 907ms

Last 20

  • 2–18 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 785ms

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 (+1.1 against its own average).

Aim0.5
Utility0.2
Positioning1.8
Opening Duels0.0

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

donk

Plays most like donk 72% 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. 884ms 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

Aim0.5
Positioning1.8
Utility0.2
Mechanics8.3
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time676ms+151ms
first ⅓ avg 524ms → last ⅓ avg 676ms
Headshot accuracy20.0%+0.9%
first ⅓ avg 19.1% → last ⅓ avg 20.0%

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

0.35Best match rating · 1–9 · inferno, 6 Oct →
67%Best headshot accuracy · 0–13 · inferno, 19 Oct →
313msFastest reaction time · 7–9 · inferno, 6 Oct →
9–0Biggest win · inferno, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L15Current streak
5–9In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 44% over 18poseidonWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC5624–3243%0.02
nukeC188–1044%0.02
poseidonD93–633%-0.06
mirage—40–40%-0.06
vertigo—31–233%0.04
dust2—20–20%-0.07
ancient—20–20%-0.05
anubis—20–20%-0.11
debris—22–0100%-0.02
overpass—10–10%-0.06
eldorado—10–10%-0.11

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.

21.8%Headshot accuracy
19.2%Accuracy (enemy spotted)
14.8%Spray accuracy
87.2%Counter-strafing
18.0°Preaim
884msReaction time
9.2%T opening success
2.0%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.10Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 17.9885° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 884.055ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.0321 — below the 0.5 mark we flag

    Grenade Lineups →
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.

43% win rate across 56 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–13-0.070%19 Oct →
dust20–13-0.0415%19 Oct →
mirage0–13-0.0433%19 Oct →
mirage0–13-0.0740%19 Oct →
mirage2–13-0.1018%19 Oct →
inferno0–13-0.0813%19 Oct →
dust20–13-0.1020%19 Oct →
mirage0–13-0.0613%19 Oct →
inferno0–13-0.0567%19 Oct →
ancient0–13-0.0518%19 Oct →
nuke0–13-0.0513%19 Oct →
inferno0–13-0.0910%19 Oct →
ancient0–13-0.0440%19 Oct →
anubis9–13-0.1113%19 Oct →
anubis5–13-0.1025%19 Oct →
vertigo7–00.0313%7 Oct →
vertigo3–9-0.0326%7 Oct →
inferno5–90.0222%7 Oct →
inferno9–30.0121%7 Oct →
inferno1–90.3525%6 Oct →
nuke9–10.1627%6 Oct →
inferno7–9-0.029%6 Oct →
debris9–5-0.0111%6 Oct →
nuke8–8-0.0116%6 Oct →
inferno9–70.0712%6 Oct →
inferno8–8-0.0810%6 Oct →
inferno8–80.0420%6 Oct →
poseidon9–6-0.0110%6 Oct →
inferno2–9-0.1614%6 Oct →
inferno9–3-0.1140%6 Oct →
inferno8–8-0.019%6 Oct →
inferno9–30.1422%6 Oct →
inferno9–60.1317%6 Oct →
inferno7–9-0.0619%6 Oct →
inferno9–20.1124%6 Oct →
inferno9–50.1516%6 Oct →
nuke4–10.1623%6 Oct →
inferno9–7-0.0112%6 Oct →
inferno2–9-0.0716%6 Oct →
inferno9–30.0914%6 Oct →
nuke8–8-0.0615%6 Oct →
vertigo8–80.1215%6 Oct →
poseidon9–2-0.0114%6 Oct →
inferno7–9-0.0216%6 Oct →
inferno9–00.2934%6 Oct →
poseidon7–9-0.0717%6 Oct →
inferno9–50.0215%6 Oct →
inferno9–60.0820%6 Oct →
nuke4–9-0.0113%6 Oct →
inferno9–3-0.058%6 Oct →
poseidon1–9-0.2210%6 Oct →
inferno2–90.0412%6 Oct →
inferno9–40.0714%6 Oct →
inferno8–80.0113%6 Oct →
inferno8–80.1420%6 Oct →
inferno7–9-0.1614%6 Oct →
nuke5–9-0.0420%6 Oct →
nuke6–9-0.0711%6 Oct →
poseidon4–9-0.0713%6 Oct →
poseidon6–9-0.0213%6 Oct →
inferno4–9-0.0915%6 Oct →
inferno5–90.0014%6 Oct →
inferno9–10.348%6 Oct →
inferno9–20.1415%6 Oct →
inferno8–8-0.1539%6 Oct →
inferno0–9-0.170%6 Oct →
nuke4–9-0.0916%6 Oct →
inferno5–9-0.0527%6 Oct →
inferno9–40.029%6 Oct →
inferno7–9-0.1529%6 Oct →
nuke9–60.1041%6 Oct →
inferno8–8-0.0614%6 Oct →
nuke9–7-0.0315%6 Oct →
poseidon1–9-0.157%6 Oct →
inferno9–70.0017%6 Oct →
poseidon7–9-0.0726%6 Oct →
inferno9–6-0.1522%6 Oct →
nuke9–7-0.0116%6 Oct →
inferno6–9-0.1617%6 Oct →
inferno7–90.059%6 Oct →
nuke9–20.2912%6 Oct →
nuke8–80.0820%6 Oct →
inferno8–80.0313%6 Oct →
inferno9–10.3010%6 Oct →
inferno9–20.2022%6 Oct →
inferno5–9-0.1023%6 Oct →
overpass3–9-0.0622%3 Oct →
inferno9–00.0150%3 Oct →
inferno7–90.0210%3 Oct →
inferno4–90.0118%3 Oct →
eldorado5–9-0.113%3 Oct →
debris9–5-0.0411%3 Oct →
nuke6–9-0.0322%3 Oct →
inferno9–2-0.0316%3 Oct →
inferno5–90.2222%3 Oct →
inferno9–4-0.0410%3 Oct →
nuke9–10.0724%3 Oct →
poseidon9–20.0814%3 Oct →
nuke0–9-0.3150%3 Oct →
nuke9–20.1411%3 Oct →

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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