Dilophosaurus.

Dilophosaurus. — CS2 Stats

76561198069902016[U:1:109636288]Steam profile ↗✓ No bans

117Tracked matches53%Win rate2022Tracked since
288Hours in CS
CSDB Rating2.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim24
Positioning29
Utility28

0–100 skill scores via Leetify.

Recent form

COLD51–42–7Last 10051%Win rateLLLLLWWLWL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −4.9pp headshot accuracy · −117ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 622ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 579ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 637ms

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 against its own average).

Aim2.4
Utility2.8
Positioning2.9
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

Twistzz

Plays most like Twistzz 74% 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. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.4
Positioning2.9
Utility2.8
Mechanics2.1
Opening Duels0.2
Win Impact6.1

Composite 2.7/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time648ms+1ms
first ⅓ avg 647ms → last ⅓ avg 648ms
Headshot accuracy15.7%+4.5%
first ⅓ avg 11.2% → last ⅓ avg 15.7%

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

0.07Best match rating · 7–13 · mirage, 27 Jun →
35%Best headshot accuracy · 13–8 · cache, 6 Jul →
406msFastest reaction time · 7–13 · inferno, 3 Aug →
13–0Biggest win · mirage, 22 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
7–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 48% over 25
MapGradePlayedRecordWin rateAvg rating
dust2B3819–1950%-0.05
mirageB2714–1352%-0.04
infernoB2512–1348%-0.04
cacheA85–363%-0.01
nuke—21–150%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,762Lifetime kills
0.69K/D
853Matches
38.3%Match win rate
34.3%Headshot %
12.0%Shot accuracy
1,179MVPs
288Hours (in match)
849Bombs planted
98Bombs defused

Most-used weapons

Lifetime map wins

2,843dust2
1,486inferno
39nuke
33vertigo
29cbble
24train
21lake
17office

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

Skill profile

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

16.2%Headshot accuracy
25.7%Accuracy (enemy spotted)
26.9%Spray accuracy
59.7%Counter-strafing
10.7°Preaim
640msReaction time
17.7%T opening success
31.8%CT opening success
0.40Enemies flashed / flash
1.3%Flash assists
8.68HE damage / grenade
3.27Flashes / 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 0.4015 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 17.6955% — 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.

48% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0514%29 Aug →
nuke1–13-0.095%29 Aug →
dust25–13-0.0522%29 Aug →
mirage10–13-0.0213%29 Aug →
inferno7–130.0314%23 Aug →
dust213–30.0419%23 Aug →
mirage13–7-0.0324%23 Aug →
inferno7–13-0.083%3 Aug →
cache13–50.0617%3 Aug →
dust26–13-0.048%3 Aug →
cache11–13-0.075%26 Jul →
mirage13–7-0.076%18 Jul →
cache10–13-0.0019%16 Jul →
dust213–9-0.0815%16 Jul →
dust213–9-0.0721%16 Jul →
dust28–13-0.1133%8 Jul →
dust213–30.009%8 Jul →
inferno13–40.0320%8 Jul →
cache13–80.0035%6 Jul →
dust213–4-0.0324%6 Jul →
dust23–13-0.0422%6 Jul →
dust22–13-0.079%5 Jul →
inferno13–11-0.089%5 Jul →
mirage13–6-0.0411%5 Jul →
cache13–7-0.0211%5 Jul →
inferno13–100.0122%27 Jun →
dust24–13-0.0032%27 Jun →
mirage7–130.0721%27 Jun →
dust213–10-0.077%25 Jun →
mirage13–3-0.0017%25 Jun →
mirage2–13-0.0711%25 Jun →
mirage12–12-0.0612%19 Jun →
inferno13–5-0.108%19 Jun →
dust213–10-0.080%19 Jun →
cache13–9-0.0313%19 Jun →
cache13–9-0.028%19 Jun →
cache6–13-0.0313%29 Apr →
mirage6–130.0116%21 Mar →
mirage13–8-0.0122%21 Mar →
dust213–3-0.0810%15 Mar →
dust27–13-0.0710%15 Mar →
mirage13–4-0.0125%14 Mar →
dust213–30.0116%14 Mar →
inferno13–50.0217%16 Feb →
mirage9–13-0.0212%16 Feb →
dust213–4-0.0610%9 Feb →
dust29–13-0.0623%7 Feb →
inferno12–12-0.030%6 Feb →
dust213–40.0023%2 Feb →
dust213–5-0.018%2 Feb →
inferno13–6-0.0015%30 Jan →
mirage13–8-0.0311%30 Jan →
inferno12–12-0.0810%18 Jan →
dust25–13-0.0217%18 Jan →
mirage6–13-0.097%18 Jan →
mirage10–13-0.067%11 Jan →
inferno4–13-0.0324%11 Jan →
dust213–11-0.0513%11 Jan →
dust213–7-0.0817%8 Jan →
mirage13–9-0.0312%8 Jan →
dust213–4-0.0213%3 Jan →
dust213–11-0.049%2 Jan →
inferno13–80.027%2 Jan →
inferno6–13-0.0415%2 Jan →
inferno2–7-0.150%2 Jan →
mirage13–30.0420%2 Jan →
dust212–12-0.0314%2 Jan →
dust213–5-0.0516%16 Dec →
dust28–13-0.0622%16 Dec →
inferno13–90.023%15 Dec →
mirage13–8-0.0114%15 Dec →
inferno9–13-0.0124%7 Dec →
dust26–13-0.110%30 Nov →
mirage11–13-0.052%14 Nov →
mirage6–13-0.1114%11 Nov →
inferno4–13-0.060%9 Nov →
inferno13–110.0320%8 Nov →
mirage13–5-0.089%8 Nov →
inferno10–13-0.0613%6 Sept →
dust25–130.0011%6 Sept →
mirage12–12-0.069%6 Sept →
mirage9–13-0.0519%6 Sept →
dust23–13-0.124%26 Jul →
dust213–4-0.0614%18 Jun →
inferno13–7-0.0521%13 Apr →
inferno3–13-0.0716%13 Apr →
mirage13–0-0.080%22 Mar →
dust213–11-0.0412%11 Feb →
mirage13–11-0.084%11 Feb →
dust211–13-0.0319%26 Jan →
inferno4–13-0.0514%19 Jan →
dust212–12-0.0114%8 Nov →
dust27–13-0.103%8 Nov →
inferno13–8-0.033%6 Nov →
inferno8–13-0.096%25 Oct →
dust212–12-0.050%23 Oct →
inferno13–9-0.070%5 Sept →
mirage10–13-0.1033%29 Aug →
mirage13–11-0.0323%20 Aug →
nuke13–3-0.024%20 Aug →

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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