Repert

Repert — CS2 Stats

76561198098341342[U:1:138075614]Steam profile ↗✓ No bans

92Tracked matches43%Win rate2025Tracked since
CSDB Rating1.5 Learning
Premier CS Rating11,219Blue band · top ~48.4% of ranked players (population est.)
CSDB Leaderboard#37242 of 53301 tracked
Ladder ranks via Leetify

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CSDB.GGRepertPREMIER11,219 · Blue bandcsdb.gg/stats

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Performance scores

Aim11
Positioning26
Utility6

0–100 skill scores via Leetify.

Recent form

STEADY40448Last 9243%Win rateLWLLWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim1.1
Aggression2.1
Utility0.6
Positioning2.6
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 52% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.1
Positioning2.6
Utility0.6
Mechanics2.0
Opening Duels0.2
Win Impact2.8

Composite 1.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.07+0.04
first ⅓ avg -0.11 → last ⅓ avg -0.07
Reaction time660ms−18ms
first ⅓ avg 679ms → last ⅓ avg 660ms
Headshot accuracy11.7%−2.0%
first ⅓ avg 13.7% → last ⅓ avg 11.7%

Rolling 5-match average across the last 92 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.00Best rating — dust2 13–4
130Biggest win — nuke
5Longest win streak
16In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 78% over 9cacheWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC1771041%-0.09
dust2B157847%-0.08
cacheD123925%-0.08
nukeB115645%-0.08
mirageS97278%-0.06
anubisC94544%-0.09
overpassD93633%-0.11
ancientB63350%-0.12
train41325%-0.10

Across the last 92 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.

11.7%Headshot accuracy
21.1%Accuracy (enemy spotted)
17.6%Spray accuracy
58.9%Counter-strafing
10.0°Preaim
657msReaction time
21.7%T opening success
31.8%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
2.42HE damage / grenade
0.39Flashes / 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 11.6682% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Sustained sprays are missing more than they land, which is a recoil-control pattern you can drill directly.

    Spray accuracy 17.6367% — below the 20% mark we flag

    Practice Config
  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 0.0749 — below the 0.5 mark we flag

    Grenade Lineups
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.

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

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache4–13-0.108%23 Aug
nuke13–5-0.0510%23 Aug
inferno0–13-0.126%23 Aug
dust27–13-0.1410%23 Aug
mirage7–0-0.0013%23 Aug
mirage13–9-0.0610%22 Aug
dust213–40.0013%22 Aug
cache7–13-0.0813%22 Aug
mirage13–8-0.0514%22 Aug
anubis13–7-0.029%22 Aug
inferno11–13-0.0513%22 Aug
dust213–16-0.097%22 Aug
mirage13–8-0.075%22 Aug
mirage1–13-0.0818%16 Aug
inferno8–13-0.0713%16 Aug
cache6–13-0.0713%15 Aug
inferno12–5-0.068%15 Aug
dust211–13-0.0421%15 Aug
mirage13–2-0.0720%15 Aug
inferno7–13-0.1013%15 Aug
dust213–5-0.018%15 Aug
dust213–6-0.0919%15 Aug
inferno13–10-0.0711%7 Aug
cache10–13-0.0710%7 Aug
train11–13-0.0811%7 Aug
overpass8–13-0.0820%7 Aug
dust26–13-0.146%7 Aug
nuke5–13-0.105%7 Aug
dust27–13-0.1012%6 Aug
cache13–4-0.1112%6 Aug
inferno8–13-0.0118%6 Aug
nuke13–11-0.098%5 Aug
inferno13–4-0.1211%5 Aug
anubis13–10-0.096%5 Aug
ancient7–13-0.136%5 Aug
inferno12–12-0.0717%4 Aug
nuke12–12-0.140%4 Aug
overpass7–13-0.1114%4 Aug
dust25–13-0.0925%4 Aug
cache13–3-0.0217%4 Aug
cache10–13-0.1017%3 Aug
inferno12–12-0.086%3 Aug
anubis7–13-0.0912%3 Aug
nuke13–6-0.0712%2 Aug
mirage6–13-0.0825%2 Aug
dust213–9-0.055%28 Jul
mirage13–10-0.0724%28 Jul
nuke13–00.0014%28 Jul
overpass5–13-0.0624%28 Jul
anubis5–13-0.0521%28 Jul
cache6–13-0.0711%26 Jul
inferno13–2-0.059%26 Jul
nuke11–13-0.098%13 Jul
ancient8–13-0.140%13 Jul
nuke0–2-0.050%13 Jul
cache7–13-0.115%10 Jul
inferno7–4-0.0431%10 Jul
overpass4–13-0.1311%28 Jun
train4–13-0.0827%28 Jun
dust212–12-0.067%28 Jun
ancient13–9-0.146%27 Jun
cache12–12-0.029%27 Jun
inferno1–13-0.1620%27 Jun
overpass13–4-0.130%26 Jun
cache7–13-0.116%26 Jun
anubis4–13-0.1035%26 Jun
nuke12–12-0.1012%26 Jun
inferno13–4-0.0919%26 Jun
anubis4–13-0.0822%31 May
dust24–13-0.107%31 May
inferno4–13-0.1533%24 May
ancient11–13-0.124%24 May
overpass12–12-0.1317%23 May
dust213–0-0.1013%23 May
mirage13–7-0.0610%23 May
cache13–10-0.126%23 May
nuke13–10-0.089%23 May
inferno10–13-0.117%23 May
train6–13-0.146%23 May
anubis13–9-0.0930%23 May
anubis2–13-0.1722%22 May
dust213–5-0.1110%22 May
nuke12–12-0.1113%17 May
anubis13–6-0.0933%17 May
overpass13–6-0.1211%17 May
ancient13–3-0.114%17 May
overpass7–13-0.0825%15 May
inferno13–6-0.115%3 May
overpass13–4-0.120%11 Oct
ancient13–10-0.095%13 Sept
train13–9-0.1118%13 Sept
dust213–10-0.0910%13 Sept

Match data via Leetify.

Recent teammates

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