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Textillim — CS2 Stats

76561198040829652[U:1:80563924]

517Tracked matches33%Win rate2025Tracked since
CSDB Rating4.5 Developing
Premier CS Rating22,599Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#4987 of 17210 tracked
Ladder ranks via Leetify

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CSDB.GGTextillimPREMIER22,599 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

COLD40–59–1Last 10040%Win rateLWLWLLLLWL

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

Player DNA

Aim5.4
Aggression4.9
Utility5.6
Positioning5.2
Opening Duels1.6
Clutch0.0

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: opening-fight frequency, 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 →

CSDB Rating breakdown

Aim5.4
Positioning5.2
Utility5.6
Mechanics4.7
Opening Duels1.6
Win Impact0.0

Composite 4.5/10 (Developing), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time533ms−79ms
first ⅓ avg 613ms → last ⅓ avg 533ms
Headshot accuracy15.4%−4.6%
first ⅓ avg 20.0% → last ⅓ avg 15.4%

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

0.08Best rating — dust2 13–2
13–1Biggest win — anubis
5Longest win streak
6–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 60% over 5dust2Weakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%-0.02
dust2D204–1620%-0.02
cacheA1911–858%-0.03
ancientC176–1135%-0.03
anubisC146–843%-0.02
infernoA53–260%-0.01
nuke—20–20%-0.03
vertigo—10–10%-0.02
overpass—10–10%-0.08
train—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
35%Win rate
0.90Avg K/D
65.2ADR
48%Headshot %

Clutches & streaks

17%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust230%0.669.3
Cache3100%1.5416.3
Inferno2100%0.9413.0
Anubis20%0.8520.0
Mirage20%0.578.0
Ancient10%0.609.0

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.

15.2%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.4%Spray accuracy
71.3%Counter-strafing
9.3°Preaim
530msReaction time
30.3%T opening success
42.6%CT opening success
0.53Enemies flashed / flash
5.6%Flash assists
9.42HE damage / grenade
6.99Flashes / 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 30.3278% — 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.

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–19-0.0218%26 Aug →
mirage13–10-0.0013%26 Aug →
dust28–130.0514%26 Aug →
anubis13–7-0.085%26 Aug →
anubis3–13-0.1116%26 Aug →
inferno8–13-0.0711%22 Aug →
ancient10–13-0.058%22 Aug →
anubis9–13-0.066%21 Aug →
dust213–30.0718%21 Aug →
ancient7–13-0.0119%21 Aug →
cache13–70.0224%21 Aug →
anubis8–13-0.0221%21 Aug →
anubis14–16-0.0314%20 Aug →
cache12–16-0.0427%18 Aug →
vertigo11–13-0.0217%13 Aug →
ancient13–40.0119%13 Aug →
dust25–13-0.0614%13 Aug →
ancient4–13-0.049%13 Aug →
cache9–13-0.0225%8 Aug →
dust25–13-0.0417%8 Aug →
cache13–110.0514%7 Aug →
anubis13–100.0713%7 Aug →
cache9–13-0.0221%7 Aug →
dust25–13-0.1012%6 Aug →
ancient13–8-0.0427%6 Aug →
anubis7–130.0114%6 Aug →
dust26–13-0.0514%6 Aug →
mirage13–3-0.015%6 Aug →
mirage13–50.013%4 Aug →
dust25–13-0.0413%4 Aug →
anubis13–9-0.0515%4 Aug →
cache13–11-0.0124%4 Aug →
nuke7–13-0.0022%4 Aug →
anubis13–10.0125%3 Aug →
ancient10–13-0.0616%3 Aug →
mirage9–13-0.0521%3 Aug →
cache14–16-0.0810%3 Aug →
mirage7–13-0.0210%3 Aug →
ancient15–150.0220%3 Aug →
ancient10–13-0.068%2 Aug →
cache3–13-0.1016%1 Aug →
mirage2–13-0.0810%1 Aug →
ancient10–13-0.0218%1 Aug →
cache13–5-0.0415%1 Aug →
dust28–13-0.0227%31 Jul →
inferno13–10-0.0229%31 Jul →
cache13–10.0713%31 Jul →
mirage9–13-0.0223%31 Jul →
mirage6–13-0.0510%29 Jul →
cache13–5-0.0214%29 Jul →
inferno13–20.0518%28 Jul →
dust213–4-0.0417%28 Jul →
cache13–11-0.0214%27 Jul →
mirage13–90.0426%27 Jul →
ancient3–13-0.0714%27 Jul →
mirage14–16-0.0611%22 Jul →
inferno13–60.0119%21 Jul →
dust210–13-0.0315%21 Jul →
ancient9–13-0.0510%20 Jul →
dust27–13-0.0416%20 Jul →
dust23–13-0.087%20 Jul →
dust26–13-0.1013%19 Jul →
cache9–13-0.1119%19 Jul →
dust24–13-0.1025%19 Jul →
mirage13–6-0.0122%19 Jul →
mirage13–8-0.0316%11 Jul →
mirage13–4-0.027%11 Jul →
cache2–13-0.0816%11 Jul →
ancient13–80.0410%11 Jul →
mirage13–60.0117%11 Jul →
ancient13–20.0424%11 Jul →
nuke7–13-0.0617%10 Jul →
mirage13–10-0.0414%10 Jul →
ancient13–20.0110%10 Jul →
cache13–9-0.0419%10 Jul →
cache13–5-0.0315%10 Jul →
dust28–13-0.0421%8 Jul →
anubis13–50.0124%8 Jul →
mirage8–13-0.0427%8 Jul →
ancient10–13-0.0915%8 Jul →
cache22–20-0.009%28 Jun →
inferno4–13-0.0113%27 Jun →
mirage13–160.0011%27 Jun →
dust25–130.0721%27 Jun →
ancient6–13-0.0617%26 Jun →
cache13–110.0118%26 Jun →
mirage16–120.0219%26 Jun →
overpass4–13-0.0812%26 Jun →
anubis2–0-0.01100%26 Jun →
dust213–40.0621%26 Jun →
dust213–20.0830%25 Jun →
ancient13–10-0.0311%17 Jun →
anubis14–16-0.0423%17 Jun →
dust29–13-0.0426%17 Jun →
mirage11–13-0.0320%17 Jun →
dust29–13-0.0316%15 Jun →
train13–16-0.0217%13 Jun →
cache5–13-0.0711%13 Jun →
mirage7–13-0.0816%12 Jun →
anubis16–19-0.0324%12 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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