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Trapper — CS2 Stats

76561199157858977[U:1:1197593249]

158Tracked matches41%Win rate2025Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim48
Positioning54
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateWLLWLLWWTW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim4.8
Aggression5.8
Utility1.2
Positioning5.4
Opening Duels3.5

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 742ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.8
Positioning5.4
Utility1.2
Mechanics4.3
Opening Duels3.5
Win Impact1.9

Composite 3.9/10 (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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time735ms+33ms
first ⅓ avg 702ms → last ⅓ avg 735ms
Headshot accuracy11.4%−1.3%
first ⅓ avg 12.7% → last ⅓ avg 11.4%

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.

Highlights

0.21Best rating — ancient 9–0
13–2Biggest win — ancient
5Longest win streak
3–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 67% over 6mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2712–1544%0.01
infernoA127–558%0.01
mirageD123–925%0.02
nukeD123–925%-0.02
ancientA85–363%0.02
vertigoS64–267%0.05
trainD62–433%0.04
anubisS64–267%-0.01
cacheD62–433%0.07
overpass—31–233%-0.03
boulder—11–0100%0.01
alpine—11–0100%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 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.

11.7%Headshot accuracy
40.1%Accuracy (enemy spotted)
41.0%Spray accuracy
69.1%Counter-strafing
10.5°Preaim
742msReaction time
37.1%T opening success
50.6%CT opening success
0.31Enemies flashed / flash
4.7%Flash assists
1.17HE damage / grenade
1.19Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.6638% — below the 15% 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 741.7446ms — 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 0.3144 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–80.048%28 Jul →
inferno5–130.0119%28 Jul →
mirage9–130.005%10 Jul →
inferno13–50.0323%10 Jul →
nuke2–13-0.026%10 Jul →
nuke8–13-0.008%9 Jul →
boulder13–100.0117%9 Jul →
dust213–60.0613%27 Jun →
mirage12–120.0510%27 Jun →
inferno13–80.0211%27 Jun →
inferno12–120.059%27 Jun →
dust210–130.029%25 Jun →
train13–50.0812%25 Jun →
vertigo13–60.046%25 Jun →
train4–5-0.0421%23 Jun →
dust212–12-0.0319%23 Jun →
mirage1–11-0.077%23 Jun →
ancient9–00.2124%23 Jun →
ancient10–130.0112%23 Jun →
mirage6–40.098%23 Jun →
mirage0–70.004%22 Jun →
dust213–6-0.046%22 Jun →
train8–130.069%19 Jun →
inferno13–50.039%19 Jun →
dust24–130.0822%19 Jun →
dust26–13-0.0318%17 Jun →
anubis8–130.049%17 Jun →
dust23–130.1219%17 Jun →
cache4–13-0.017%17 Jun →
overpass14–16-0.048%16 Jun →
inferno3–13-0.054%16 Jun →
dust213–110.0811%16 Jun →
cache13–50.194%16 Jun →
anubis9–13-0.037%15 Jun →
mirage6–13-0.0210%14 Jun →
alpine13–70.1211%14 Jun →
overpass11–13-0.048%14 Jun →
mirage13–70.1917%14 Jun →
inferno10–13-0.0511%14 Jun →
cache6–130.0413%14 Jun →
dust28–130.0310%14 Jun →
nuke12–120.0115%13 Jun →
vertigo7–130.078%13 Jun →
dust29–130.0010%13 Jun →
nuke4–13-0.0411%13 Jun →
dust25–13-0.019%13 Jun →
dust213–90.079%13 Jun →
inferno9–120.035%12 Jun →
ancient7–13-0.015%12 Jun →
dust26–13-0.0210%12 Jun →
nuke6–12-0.048%12 Jun →
dust213–100.034%12 Jun →
train13–90.124%11 Jun →
ancient13–60.023%11 Jun →
dust213–9-0.023%11 Jun →
dust25–13-0.037%11 Jun →
anubis13–60.0214%10 Jun →
ancient13–20.019%10 Jun →
cache5–130.0312%10 Jun →
nuke13–50.0312%10 Jun →
cache13–80.159%10 Jun →
inferno13–8-0.039%10 Jun →
vertigo13–90.0615%10 Jun →
dust211–7-0.017%9 Jun →
train5–130.0310%9 Jun →
dust29–13-0.0412%9 Jun →
dust26–13-0.0527%9 Jun →
dust213–10-0.039%9 Jun →
dust213–20.0616%9 Jun →
dust213–90.0616%7 Jun →
nuke10–130.038%7 Jun →
dust210–130.1312%6 Jun →
vertigo13–100.022%5 Jun →
vertigo10–130.0512%5 Jun →
ancient4–13-0.045%1 Jun →
mirage8–13-0.049%1 Jun →
mirage6–13-0.008%1 Jun →
dust23–13-0.0417%31 May →
nuke13–4-0.0118%31 May →
anubis13–100.038%31 May →
anubis13–11-0.0711%31 May →
ancient13–70.0111%31 May →
train1–13-0.0529%31 May →
nuke5–13-0.0612%31 May →
dust213–10-0.027%29 May →
mirage3–13-0.0220%28 May →
cache9–130.0424%28 May →
mirage16–120.0319%28 May →
nuke1–10-0.0910%28 May →
inferno13–50.066%28 May →
anubis13–10-0.056%28 May →
dust213–60.0623%28 May →
nuke12–16-0.0717%27 May →
inferno13–8-0.007%27 May →
dust28–13-0.0919%27 May →
overpass13–70.0015%27 May →
nuke13–80.0821%27 May →
mirage9–13-0.0212%27 May →
ancient13–9-0.042%27 May →
inferno13–50.0710%27 May →

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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