_𝖊𝖘𝖘𝖎𝖆⛧ — CS2 Stats

76561198013859526[U:1:53593798]

3,353Tracked matches40%Win rate2024Tracked since
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating17,605Purple band · top ~18% of ranked players (population est.)
CSDB Leaderboard#23907 of 47140 tracked
FaceitLevel 8 · 1,557 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GG_𝖊𝖘𝖘𝖎𝖆⛧FACEITLevel 8 · 1,557 ELOSTANDINGTop 31.2% of rankedPREMIER17,605 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility69

0–100 skill scores via Leetify.

Recent form

COLD49474Last 10049%Win rateLLLLLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim6.4
Aggression6.5
Utility6.9
Positioning4.8
Opening Duels2.5
Clutch4.4

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 90% playstyle similarity

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

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 52% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 61% 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

Aim6.4
Positioning4.8
Utility6.9
Mechanics2.4
Opening Duels2.8
Win Impact1.7

Composite 4.7/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time538ms−51ms
first ⅓ avg 589ms → last ⅓ avg 538ms
Headshot accuracy21.8%−0.8%
first ⅓ avg 22.6% → last ⅓ avg 21.8%

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

0.13Best rating — ancient 6–0
131Biggest win — anubis
7Longest win streak
L6Current streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 64% over 14mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC1881044%-0.00
nukeA159660%-0.00
cacheB157847%-0.01
ancientA149564%0.01
anubisB126650%0.02
mirageD93633%-0.01
officeC52340%0.03
dust241325%-0.00
vertigo3030%0.02
train220100%0.02
overpass21150%0.01
fachwerk110100%0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

123Matches
56%Win rate
0.90Avg K/D
72.8ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke2343%0.8513.5
Dust22245%0.9013.3
Inferno2268%0.9715.5
Mirage2264%0.7813.2
Anubis1560%1.0916.3
Ancient1155%0.9114.6
Train475%0.8412.3
Overpass450%0.9115.5

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.

21.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.1%Spray accuracy
60.8%Counter-strafing
9.7°Preaim
535msReaction time
28.1%T opening success
52.2%CT opening success
0.70Enemies flashed / flash
14.1%Flash assists
7.41HE damage / grenade
8.49Flashes / 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 28.1331% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–130.0218%29 Aug
ancient11–13-0.0119%29 Aug
anubis14–16-0.0125%29 Aug
nuke8–130.0114%29 Aug
anubis6–13-0.0126%29 Aug
cache4–13-0.0520%29 Aug
inferno13–8-0.0123%29 Aug
nuke13–100.0220%27 Aug
mirage4–130.0120%27 Aug
nuke7–13-0.0326%27 Aug
anubis8–130.0531%27 Aug
nuke2–13-0.0225%27 Aug
mirage13–110.0314%27 Aug
inferno13–10-0.0116%27 Aug
train13–4-0.0042%26 Aug
overpass13–80.0427%25 Aug
office10–130.0618%25 Aug
fachwerk13–20.1029%25 Aug
office9–13-0.0118%25 Aug
office13–60.0317%25 Aug
inferno1–13-0.0628%24 Aug
anubis13–100.0620%24 Aug
cache13–60.025%24 Aug
cache7–13-0.0225%24 Aug
inferno13–30.0817%24 Aug
nuke13–100.0321%24 Aug
cache7–13-0.0924%23 Aug
nuke11–130.0418%23 Aug
dust26–130.0220%23 Aug
ancient9–13-0.0430%23 Aug
anubis8–13-0.0612%22 Aug
dust27–130.0121%22 Aug
mirage13–20.0928%22 Aug
office9–130.0623%22 Aug
ancient5–13-0.0119%21 Aug
inferno9–130.0318%21 Aug
anubis13–100.0221%21 Aug
cache13–100.0529%21 Aug
inferno13–160.0027%21 Aug
mirage15–150.0031%20 Aug
nuke13–70.0419%20 Aug
mirage5–130.0017%19 Aug
ancient9–13-0.0313%19 Aug
inferno13–80.0734%19 Aug
anubis6–13-0.0513%19 Aug
inferno4–13-0.0231%19 Aug
nuke10–13-0.0821%18 Aug
ancient13–50.0720%18 Aug
anubis13–70.0425%18 Aug
cache5–13-0.0016%18 Aug
anubis13–60.0519%18 Aug
inferno13–6-0.0326%18 Aug
nuke13–8-0.0424%18 Aug
office13–60.0214%18 Aug
anubis13–10.0717%17 Aug
nuke13–9-0.0021%17 Aug
inferno13–40.0230%17 Aug
ancient7–13-0.0716%17 Aug
ancient13–8-0.0717%17 Aug
cache13–70.0221%17 Aug
nuke13–100.0023%17 Aug
inferno15–15-0.0020%17 Aug
vertigo9–130.0819%16 Aug
anubis13–110.0316%16 Aug
ancient13–30.0924%16 Aug
nuke7–13-0.0021%16 Aug
mirage3–13-0.0917%16 Aug
inferno10–13-0.0124%16 Aug
ancient16–130.0427%15 Aug
cache9–13-0.0525%15 Aug
train13–110.0422%14 Aug
inferno16–14-0.0018%11 Aug
ancient6–00.1364%11 Aug
cache13–80.0722%11 Aug
vertigo6–9-0.0120%11 Aug
overpass1–9-0.0122%11 Aug
cache16–140.0330%10 Aug
ancient13–3-0.0429%10 Aug
ancient13–30.0222%10 Aug
dust21–13-0.0127%10 Aug
nuke13–4-0.0219%5 Aug
mirage6–13-0.0228%5 Aug
cache15–150.0319%5 Aug
inferno11–13-0.0310%4 Aug
inferno8–13-0.0118%4 Aug
vertigo12–120.0019%4 Aug
cache11–13-0.0517%2 Aug
ancient13–8-0.0318%2 Aug
nuke13–20.0523%2 Aug
cache13–4-0.0319%2 Aug
cache13–16-0.0316%2 Aug
inferno13–10-0.0430%2 Aug
nuke13–11-0.0331%2 Aug
dust213–10-0.0414%31 Jul
mirage7–13-0.0720%31 Jul
mirage13–10-0.0215%31 Jul
ancient13–70.1219%31 Jul
inferno11–130.0415%31 Jul
cache13–70.0316%31 Jul
inferno11–13-0.0529%31 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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