baller — CS2 Stats

76561197997970910[U:1:37705182]

1,341Tracked matches63%Win rate2020Tracked since
CSDB Rating5.9 Solid
Premier CS Rating26,926Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#1111 of 21487 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

26,926Peak Premier on CSDB
1Days observed since 2026-08-29

Premier CS Rating

  • At peak — 26,926
  • Next: Gold band at 30,000 3,074 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGballerFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,926 · Red bandcsdb.gg/stats

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Performance scores

Aim58
Positioning51
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY47449Last 10047%Win rateTLWWWLLWTW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.8
Aggression5.6
Utility6.2
Positioning5.1
Opening Duels1.2
Clutch5.0

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim5.8
Positioning5.1
Utility6.2
Mechanics5.7
Opening Duels1.7
Win Impact9.3

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time559ms−3ms
first ⅓ avg 562ms → last ⅓ avg 559ms
Headshot accuracy13.3%−2.1%
first ⅓ avg 15.5% → last ⅓ avg 13.3%

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 13–1
131Biggest win — cache
5Longest win streak
55In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 63% over 16infernoWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
cacheB30141647%0.00
infernoC26101638%0.01
mirageA1610663%0.00
ancientB84450%0.00
nukeA85363%-0.04
dust2C73443%-0.03
anubis4040%-0.02
train110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

183Matches
56%Win rate
1.06Avg K/D
74.7ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%1.0414.1
Inferno1275%1.2715.8
Ancient757%0.8012.0
Anubis333%0.9714.3
Nuke3100%0.7911.3
Train367%0.6711.0
Overpass250%0.7211.0
Dust21100%0.8612.0

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.

13.2%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.4%Spray accuracy
75.5%Counter-strafing
10.2°Preaim
558msReaction time
25.7%T opening success
43.6%CT opening success
0.64Enemies flashed / flash
9.1%Flash assists
11.01HE damage / grenade
7.26Flashes / 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 13.2059% — 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 25.7174% — 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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–12-0.056%26 Aug
inferno9–13-0.058%26 Aug
mirage13–10-0.0318%17 Aug
inferno13–6-0.0315%13 Aug
mirage13–90.0312%12 Aug
ancient10–13-0.0316%10 Aug
anubis6–13-0.0215%10 Aug
cache13–7-0.0612%10 Aug
inferno12–120.0213%9 Aug
nuke13–11-0.0315%7 Aug
nuke7–13-0.0818%7 Aug
cache13–10.1620%7 Aug
inferno6–13-0.006%7 Aug
inferno11–20.039%7 Aug
cache13–10-0.0315%7 Aug
inferno7–13-0.107%7 Aug
cache13–10-0.0415%5 Aug
cache2–90.0917%5 Aug
cache13–7-0.0810%3 Aug
mirage10–130.0912%2 Aug
cache13–40.0313%1 Aug
anubis12–12-0.0110%31 Jul
inferno13–70.0424%30 Jul
dust21–13-0.110%30 Jul
inferno13–50.0118%30 Jul
nuke11–130.0016%30 Jul
mirage13–11-0.0422%29 Jul
cache13–60.0716%29 Jul
train13–80.078%28 Jul
nuke13–5-0.088%28 Jul
inferno13–100.0514%27 Jul
cache11–13-0.0014%27 Jul
inferno4–130.0219%27 Jul
inferno13–90.0025%27 Jul
mirage13–1-0.0111%27 Jul
mirage13–8-0.0214%24 Jul
inferno7–13-0.0117%23 Jul
nuke13–5-0.0915%23 Jul
inferno13–110.1312%23 Jul
dust213–10-0.0315%22 Jul
dust213–8-0.047%22 Jul
cache11–13-0.0023%22 Jul
cache2–13-0.006%22 Jul
cache12–12-0.0112%22 Jul
inferno3–130.0216%22 Jul
ancient13–20.0333%22 Jul
nuke13–10-0.0422%21 Jul
mirage10–130.0215%21 Jul
mirage4–13-0.0226%21 Jul
inferno13–80.0611%21 Jul
anubis10–13-0.0314%21 Jul
inferno10–13-0.059%20 Jul
mirage8–13-0.0518%20 Jul
cache13–70.0019%20 Jul
ancient6–13-0.077%20 Jul
cache13–3-0.0021%18 Jul
inferno9–130.0411%16 Jul
mirage16–130.0010%16 Jul
cache11–130.039%13 Jul
cache12–120.027%11 Jul
inferno7–13-0.007%11 Jul
ancient9–13-0.046%10 Jul
mirage13–110.0115%10 Jul
inferno13–90.0815%10 Jul
cache0–13-0.050%10 Jul
mirage13–9-0.0513%10 Jul
cache5–13-0.0616%10 Jul
dust213–60.0526%10 Jul
cache13–7-0.0414%9 Jul
mirage13–90.1017%9 Jul
inferno12–120.0420%9 Jul
nuke5–130.0419%9 Jul
cache13–60.056%9 Jul
inferno2–13-0.0214%9 Jul
cache13–11-0.0315%9 Jul
cache2–13-0.0619%9 Jul
ancient10–13-0.0318%1 Jul
inferno6–13-0.0322%1 Jul
anubis10–13-0.0110%1 Jul
dust210–13-0.0010%1 Jul
mirage9–13-0.0310%1 Jul
cache13–90.017%27 Jun
ancient13–80.0715%27 Jun
ancient13–70.0114%26 Jun
dust29–13-0.0530%26 Jun
nuke13–8-0.0411%26 Jun
mirage13–70.0418%25 Jun
ancient13–40.0615%25 Jun
inferno11–13-0.0213%23 Jun
mirage10–130.0016%23 Jun
cache3–130.0522%23 Jun
cache12–120.0414%23 Jun
inferno13–90.0014%23 Jun
inferno5–13-0.0311%23 Jun
cache13–20.0419%22 Jun
dust210–13-0.018%22 Jun
inferno12–12-0.018%22 Jun
cache12–12-0.0224%22 Jun
cache5–130.0215%14 Jun
cache5–13-0.0217%12 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →