Celtic — CS2 Stats

76561198012293105[U:1:52027377]✓ No bans

1,340Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating22,806Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#4688 of 16865 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCelticFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,806 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning57
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateLLWLLLWWLW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.7
Utility6.8
Positioning5.7
Opening Duels2.2
Clutch2.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, 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 48% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim6.4
Positioning5.7
Utility6.8
Mechanics7.2
Opening Duels2.3
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time613ms−34ms
first ⅓ avg 648ms → last ⅓ avg 613ms
Headshot accuracy19.4%−0.3%
first ⅓ avg 19.7% → last ⅓ avg 19.4%

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

0.15Best rating — inferno 13–3
131Biggest win — inferno
5Longest win streak
L2Current streak
97In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 56% over 25dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA33181555%0.02
infernoA25141156%0.02
cacheC1871139%0.01
nukeB157847%0.01
dust2D71614%-0.01
anubis1010%-0.10
ancient1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

312Matches
55%Win rate
1.13Avg K/D
73.4ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2536%0.8914.7
Ancient1429%0.7210.7
Inferno1164%0.9814.0
Dust2771%0.8311.4
Anubis425%0.7412.3
Nuke333%0.8416.7

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.

18.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.0%Spray accuracy
82.2%Counter-strafing
10.9°Preaim
604msReaction time
29.4%T opening success
48.3%CT opening success
0.69Enemies flashed / flash
6.7%Flash assists
9.36HE damage / grenade
15.00Flashes / 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. 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 29.4418% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0316%26 Aug
mirage6–13-0.0121%24 Aug
inferno13–10-0.0518%24 Aug
nuke9–130.0818%24 Aug
nuke7–13-0.0224%24 Aug
mirage5–13-0.0010%24 Aug
inferno13–110.0019%23 Aug
mirage13–110.0718%23 Aug
inferno7–13-0.0515%23 Aug
mirage13–30.0817%14 Aug
inferno5–13-0.0510%13 Aug
mirage13–90.0127%13 Aug
cache9–130.0514%13 Aug
mirage16–120.0521%13 Aug
cache13–5-0.0216%13 Aug
mirage9–13-0.0219%12 Aug
cache13–40.1020%12 Aug
nuke13–11-0.0724%12 Aug
cache11–13-0.0127%9 Aug
inferno13–40.0223%9 Aug
nuke13–80.0116%9 Aug
mirage13–70.0521%9 Aug
dust211–130.0617%9 Aug
inferno13–16-0.0018%9 Aug
inferno13–30.0519%7 Aug
inferno13–10-0.0212%6 Aug
mirage13–9-0.0120%3 Aug
mirage4–130.0317%3 Aug
nuke5–130.0125%3 Aug
mirage2–13-0.0819%2 Aug
mirage13–90.0323%2 Aug
inferno6–13-0.0129%1 Aug
nuke3–130.0128%1 Aug
inferno13–20.0522%31 Jul
mirage13–70.0036%30 Jul
cache13–80.0012%30 Jul
nuke16–120.0118%29 Jul
inferno13–100.0713%29 Jul
nuke9–130.0217%26 Jul
mirage13–60.0113%26 Jul
dust29–13-0.0117%26 Jul
cache11–130.0424%26 Jul
mirage0–6-0.0021%26 Jul
cache2–130.0121%26 Jul
inferno16–13-0.0319%25 Jul
dust29–13-0.0328%25 Jul
inferno11–13-0.0217%25 Jul
mirage13–100.1011%25 Jul
anubis1–13-0.1022%25 Jul
dust28–13-0.0616%25 Jul
ancient15–15-0.0319%24 Jul
mirage7–13-0.0413%24 Jul
dust215–15-0.0019%24 Jul
inferno13–110.0319%24 Jul
mirage8–13-0.0514%23 Jul
dust210–130.0116%23 Jul
mirage13–30.0521%23 Jul
nuke13–11-0.0014%23 Jul
mirage3–13-0.0619%23 Jul
inferno10–130.0312%22 Jul
mirage13–100.0824%21 Jul
cache13–30.0318%20 Jul
inferno8–13-0.0419%19 Jul
cache13–110.0523%19 Jul
cache11–13-0.0021%19 Jul
mirage5–130.0120%18 Jul
cache9–130.0412%18 Jul
nuke13–60.1018%18 Jul
nuke5–130.0224%16 Jul
dust213–7-0.0212%16 Jul
nuke16–140.0217%16 Jul
inferno13–10.0424%16 Jul
nuke8–13-0.0216%16 Jul
mirage9–130.0621%16 Jul
inferno11–130.0826%16 Jul
mirage13–70.1324%15 Jul
inferno13–30.1515%15 Jul
inferno13–60.0623%12 Jul
nuke13–8-0.0020%12 Jul
cache8–13-0.0124%12 Jul
cache0–13-0.105%11 Jul
inferno16–130.0719%11 Jul
mirage9–13-0.0327%11 Jul
inferno13–70.0621%11 Jul
cache16–140.0926%11 Jul
mirage11–13-0.0124%11 Jul
mirage13–60.0416%10 Jul
cache7–13-0.003%10 Jul
nuke13–16-0.0019%10 Jul
inferno8–130.0115%10 Jul
mirage13–110.0418%10 Jul
cache9–13-0.0018%10 Jul
mirage13–100.0619%10 Jul
inferno13–16-0.0025%10 Jul
mirage7–130.0526%9 Jul
mirage13–100.0815%9 Jul
cache6–13-0.0527%9 Jul
mirage13–50.0718%9 Jul
cache13–10-0.0421%9 Jul
mirage10–13-0.0425%9 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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