Curt — CS2 Stats

76561198091796089[U:1:131530361]

196Tracked matches66%Win rate2020Tracked since
CSDB Rating5.7 Solid
Premier CS Rating19,441Purple band · top ~10.7% of ranked players (population est.)
CSDB Leaderboard#8741 of 18437 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCurtFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,441 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning53
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY61336Last 10061%Win rateWLWLWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Aim5.9
Aggression5.4
Utility5.9
Positioning5.3
Opening Duels2.0

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 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim5.9
Positioning5.3
Utility5.9
Mechanics5.1
Opening Duels2.4
Win Impact10.0

Composite 5.7/10 (Solid), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time588ms−43ms
first ⅓ avg 631ms → last ⅓ avg 588ms
Headshot accuracy14.9%−1.6%
first ⅓ avg 16.5% → last ⅓ avg 14.9%

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

0.16Best rating — cache 7–2
131Biggest win — cache
7Longest win streak
43In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 78% over 9infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA48282058%0.03
mirageS118373%0.02
ancientS107370%0.01
dust2S97278%0.03
nukeB84450%-0.01
infernoC52340%0.02
anubis42250%0.04
vertigo330100%0.10
overpass2020%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches
49%Win rate
1.36Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

14.6%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.7%Spray accuracy
72.9%Counter-strafing
9.7°Preaim
591msReaction time
27.0%T opening success
49.3%CT opening success
0.59Enemies flashed / flash
3.0%Flash assists
8.81HE damage / grenade
10.14Flashes / 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 14.6171% — below the 15% mark we flag

    Aim Training
  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 26.9605% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.018%27 Jun
dust24–130.0110%27 Jun
nuke13–7-0.0315%27 Jun
ancient2–13-0.0614%27 Jun
dust213–100.0510%26 Jun
mirage13–90.0915%26 Jun
ancient13–4-0.039%26 Jun
ancient13–160.0310%25 Jun
dust27–130.0128%25 Jun
mirage13–10-0.015%25 Jun
cache13–50.0627%23 Jun
cache13–50.0717%23 Jun
mirage13–20.0820%23 Jun
mirage8–130.0117%23 Jun
dust216–120.0216%22 Jun
overpass8–13-0.0317%22 Jun
cache13–10.1112%21 Jun
cache11–130.0717%21 Jun
cache13–100.1123%21 Jun
dust213–7-0.0514%21 Jun
ancient13–10-0.0218%21 Jun
cache11–130.0519%21 Jun
cache13–90.0713%20 Jun
cache12–120.0119%20 Jun
mirage6–13-0.0210%20 Jun
inferno9–13-0.0214%20 Jun
dust213–90.0612%20 Jun
dust213–70.078%20 Jun
dust213–110.058%20 Jun
mirage13–90.0316%18 Jun
cache12–120.0728%18 Jun
nuke5–13-0.0010%18 Jun
ancient10–13-0.0812%17 Jun
inferno13–10-0.026%16 Jun
cache3–13-0.0517%15 Jun
cache13–60.008%15 Jun
cache11–130.0115%15 Jun
anubis6–130.0020%11 Jun
nuke13–8-0.0313%10 Jun
nuke15–15-0.0112%7 Jun
dust213–40.0320%7 Jun
mirage13–30.0618%7 Jun
cache12–12-0.0217%6 Jun
cache8–13-0.0110%2 Jun
ancient13–110.0516%2 Jun
ancient13–20.0717%1 Jun
anubis7–130.1015%1 Jun
mirage13–90.0110%1 Jun
mirage9–13-0.0315%1 Jun
overpass10–13-0.0414%31 May
ancient13–110.0117%31 May
mirage13–90.0512%31 May
nuke9–130.0111%31 May
cache3–130.0518%31 May
cache13–30.1019%31 May
cache13–80.0316%30 May
cache5–13-0.0218%30 May
cache13–50.0920%30 May
cache5–13-0.0018%30 May
cache12–120.0318%30 May
cache13–90.1217%30 May
cache13–10.0613%30 May
cache10–130.0215%30 May
cache13–3-0.067%30 May
cache13–60.0921%29 May
cache3–13-0.0115%29 May
cache6–13-0.029%23 May
cache13–100.0316%23 May
cache13–90.0924%23 May
cache13–40.0728%23 May
cache13–20.0421%23 May
cache4–13-0.0227%23 May
cache13–90.0314%23 May
cache5–130.0115%22 May
cache4–13-0.0121%22 May
cache13–6-0.0310%21 May
cache13–11-0.0215%21 May
cache13–50.0517%20 May
cache13–80.0812%5 May
cache3–13-0.084%5 May
cache12–120.0921%4 May
cache7–20.1611%4 May
cache13–8-0.0613%4 May
cache13–7-0.0221%4 May
cache13–60.0720%28 Apr
cache13–90.0316%28 Apr
cache13–10.0819%28 Apr
nuke13–9-0.0412%5 Jul
nuke4–10-0.0214%3 Jun
anubis13–100.0210%3 Jun
inferno16–130.0314%26 May
vertigo13–70.119%26 May
inferno10–130.0417%18 May
ancient13–10.0713%18 May
nuke13–100.0521%16 May
inferno6–130.0818%16 May
vertigo4–00.1031%16 May
vertigo13–20.1010%4 May
anubis13–50.0510%4 May
ancient13–90.1021%28 Apr

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 →