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-=]Fraggel[=-trickpa

-=]Fraggel[=-trickpa — CS2 Stats

DE76561197960516734[U:1:251006]Steam profile ↗✓ No bans

967Tracked matches44%Win rate2023Tracked since
CSDB Rating3.1 Learning
Premier CS Rating6,381Light Blue band · top ~72.2% of ranked players (population est.)
CSDB Leaderboard#41819 of 55326 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GG-=]Fraggel[=-trickpaPREMIER6,381 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning38
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY37–55–8Last 10037%Win rateWLWWLLLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim3.4
Aggression2.7
Utility4.6
Positioning3.8
Opening Duels0.0

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

NiKo

Plays most like NiKo 68% 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. 662ms 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

Aim3.4
Positioning3.8
Utility4.6
Mechanics4.2
Opening Duels0.5
Win Impact3.1

Composite 3.1/10 (Learning), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time667ms−80ms
first ⅓ avg 747ms → last ⅓ avg 667ms
Headshot accuracy7.2%−6.1%
first ⅓ avg 13.3% → last ⅓ avg 7.2%

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

0.12Best rating — inferno 13–3
13–3Biggest win — inferno
5Longest win streak
5–4In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 50% over 22cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%-0.02
infernoD227–1532%-0.03
nukeD216–1529%-0.02
ancientB115–645%-0.04
mirageD93–633%-0.01
anubisD62–433%-0.02
cacheD61–517%-0.02
vertigo—10–10%0.02
train—11–0100%-0.02
eldorado—11–0100%-0.00

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.

7.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.2%Spray accuracy
69.0%Counter-strafing
11.9°Preaim
662msReaction time
24.1%T opening success
33.7%CT opening success
0.50Enemies flashed / flash
3.1%Flash assists
10.65HE damage / grenade
3.78Flashes / 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 7.1325% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7813 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 24.1404% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0513%30 Aug →
nuke7–130.019%30 Aug →
nuke13–50.108%30 Aug →
nuke16–130.035%30 Aug →
ancient1–13-0.049%30 Aug →
mirage5–13-0.033%29 Aug →
dust210–130.044%29 Aug →
nuke13–5-0.039%29 Aug →
vertigo3–130.020%29 Aug →
anubis5–13-0.100%29 Aug →
nuke4–13-0.1016%28 Aug →
ancient4–13-0.073%28 Aug →
nuke13–50.0411%28 Aug →
inferno13–8-0.057%28 Aug →
nuke7–130.009%28 Aug →
mirage15–15-0.032%19 Aug →
mirage6–13-0.025%19 Aug →
inferno4–13-0.066%19 Aug →
inferno7–13-0.017%18 Aug →
cache15–15-0.044%18 Aug →
ancient16–14-0.0711%18 Aug →
dust213–8-0.017%18 Aug →
ancient13–9-0.054%17 Aug →
mirage13–8-0.0616%17 Aug →
mirage3–13-0.023%17 Aug →
nuke8–130.022%17 Aug →
inferno16–12-0.027%17 Aug →
inferno13–30.1212%16 Aug →
nuke13–16-0.068%15 Aug →
dust215–15-0.0014%15 Aug →
train13–9-0.028%15 Aug →
inferno12–12-0.066%14 Aug →
cache10–13-0.0211%14 Aug →
dust210–13-0.0013%14 Aug →
ancient13–10-0.103%13 Aug →
dust22–13-0.0815%13 Aug →
mirage15–15-0.053%12 Aug →
dust213–80.0115%12 Aug →
inferno5–13-0.0715%12 Aug →
nuke6–13-0.0716%12 Aug →
dust21–13-0.107%11 Aug →
dust213–8-0.0114%11 Aug →
dust29–13-0.0315%11 Aug →
inferno11–13-0.085%11 Aug →
nuke11–13-0.0319%11 Aug →
nuke13–7-0.0417%8 Aug →
ancient13–50.0317%8 Aug →
nuke13–5-0.0212%8 Aug →
inferno3–130.077%8 Aug →
nuke15–15-0.0222%7 Aug →
inferno1–13-0.065%6 Aug →
inferno7–130.0413%5 Aug →
inferno16–13-0.0718%4 Aug →
cache15–15-0.0510%4 Aug →
nuke6–13-0.0716%4 Aug →
inferno9–13-0.0419%4 Aug →
inferno8–13-0.0714%4 Aug →
dust216–14-0.0016%4 Aug →
nuke9–13-0.048%4 Aug →
dust213–100.0113%1 Aug →
ancient13–10-0.068%1 Aug →
dust213–6-0.0811%1 Aug →
cache15–15-0.0014%1 Aug →
ancient7–13-0.056%31 Jul →
anubis13–10-0.0410%31 Jul →
inferno13–10-0.0613%31 Jul →
ancient4–13-0.058%31 Jul →
dust23–13-0.0714%29 Jul →
dust213–70.049%29 Jul →
cache13–11-0.0214%29 Jul →
mirage13–110.074%28 Jul →
anubis13–90.1012%28 Jul →
dust213–8-0.057%27 Jul →
dust28–13-0.1013%27 Jul →
anubis8–13-0.0415%27 Jul →
anubis11–13-0.0612%27 Jul →
eldorado9–5-0.0024%27 Jul →
dust21–13-0.0917%25 Jul →
dust213–90.089%25 Jul →
dust26–13-0.0618%23 Jul →
inferno13–16-0.0826%23 Jul →
nuke7–13-0.0513%22 Jul →
nuke11–13-0.0112%22 Jul →
mirage1–13-0.059%22 Jul →
nuke10–130.0611%22 Jul →
dust213–5-0.0211%22 Jul →
mirage13–110.0620%22 Jul →
inferno9–13-0.087%21 Jul →
dust26–130.0720%21 Jul →
inferno5–130.0314%21 Jul →
anubis9–130.0315%18 Jul →
inferno8–13-0.046%17 Jul →
inferno8–130.0113%16 Jul →
nuke4–13-0.1114%16 Jul →
inferno13–9-0.106%16 Jul →
ancient7–13-0.0314%16 Jul →
ancient7–130.0416%16 Jul →
nuke8–13-0.1117%16 Jul →
cache12–160.0015%16 Jul →
inferno13–6-0.0513%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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