Tinker — CS2 Stats

76561198151775931[U:1:191510203]✓ No bans

3,359Tracked matches47%Win rate2020Tracked since
CSDB Rating4.8 Developing
Premier CS Rating20,735Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#14911 of 42431 tracked
FaceitLevel 5 · 1,174 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTinkerFACEITLevel 5 · 1,174 ELOSTANDINGTop 67.6% of rankedPREMIER20,735 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateLWLWLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim5.4
Aggression3.8
Utility5.6
Positioning5.0
Opening Duels1.2
Clutch3.2

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

Reaction time. 576ms 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

Aim5.4
Positioning5.0
Utility5.6
Mechanics4.7
Opening Duels1.3
Win Impact3.9

Composite 4.8/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time585ms−34ms
first ⅓ avg 619ms → last ⅓ avg 585ms
Headshot accuracy14.0%−1.9%
first ⅓ avg 15.9% → last ⅓ avg 14.0%

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

0.11Best rating — cache 13–4
131Biggest win — cache
9Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 12anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA2012860%-0.01
mirageB178947%-0.03
ancientB137654%-0.03
dust2B126650%-0.02
infernoS129375%-0.02
nukeA95456%-0.02
anubisC83538%-0.06
overpass31233%-0.03
fachwerk21150%-0.03
shelter21150%-0.02
train1010%-0.05
vertigo110100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,495Matches
49%Win rate
0.85Avg K/D
63.9ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage19553%0.8312.1
Inferno9646%0.8112.4
Ancient6551%0.8211.7
Anubis5641%0.7610.6
Dust23743%0.7811.2
Vertigo2564%0.8914.0
Nuke1856%0.7711.6
Overpass944%0.7914.0

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.

14.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
40.5%Spray accuracy
71.0%Counter-strafing
10.9°Preaim
576msReaction time
28.8%T opening success
40.6%CT opening success
0.58Enemies flashed / flash
3.7%Flash assists
7.06HE damage / grenade
13.02Flashes / 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 14.407% — 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 28.8079% — below the 40% mark we flag

Spend your practice time on Anubis

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 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0713%29 Aug
cache13–110.0218%29 Aug
overpass5–13-0.0712%29 Aug
nuke13–3-0.0515%29 Aug
train7–13-0.0514%29 Aug
dust29–13-0.0219%29 Aug
cache13–10-0.0111%28 Aug
overpass13–8-0.0422%28 Aug
cache13–10.040%27 Aug
cache9–13-0.0110%27 Aug
overpass9–130.0214%27 Aug
cache6–13-0.0914%27 Aug
ancient8–13-0.0911%27 Aug
inferno5–13-0.0111%26 Aug
cache13–70.0110%26 Aug
anubis9–13-0.0313%23 Aug
cache13–10-0.0423%23 Aug
inferno3–13-0.0725%23 Aug
dust26–13-0.0715%23 Aug
inferno16–13-0.0413%23 Aug
dust213–3-0.038%23 Aug
inferno13–110.0525%23 Aug
nuke7–13-0.0920%23 Aug
mirage0–3-0.020%22 Aug
fachwerk13–100.0117%22 Aug
cache11–130.0213%22 Aug
anubis13–9-0.0510%22 Aug
ancient13–11-0.049%22 Aug
nuke4–13-0.0317%22 Aug
ancient13–100.0815%22 Aug
cache1–7-0.1211%22 Aug
anubis9–13-0.0320%22 Aug
mirage5–130.0315%22 Aug
dust214–16-0.089%21 Aug
dust211–13-0.0014%21 Aug
vertigo13–8-0.0512%21 Aug
inferno13–11-0.0718%20 Aug
nuke13–50.0318%19 Aug
dust213–10-0.0622%19 Aug
cache11–13-0.0118%18 Aug
shelter13–80.019%17 Aug
mirage16–13-0.015%17 Aug
mirage13–11-0.035%17 Aug
inferno13–40.008%17 Aug
ancient13–110.009%17 Aug
mirage13–8-0.0511%16 Aug
cache13–40.1136%16 Aug
inferno13–8-0.0125%16 Aug
ancient13–9-0.0513%16 Aug
ancient11–130.0122%16 Aug
inferno13–11-0.0218%16 Aug
cache3–10-0.015%16 Aug
mirage13–70.0124%16 Aug
dust213–4-0.0117%16 Aug
ancient5–13-0.0616%15 Aug
anubis15–15-0.065%15 Aug
nuke13–20.039%15 Aug
mirage11–13-0.016%15 Aug
cache13–100.0117%15 Aug
mirage10–13-0.0725%15 Aug
dust213–9-0.0218%15 Aug
mirage7–13-0.0221%15 Aug
nuke13–8-0.0110%15 Aug
mirage9–13-0.0612%14 Aug
nuke10–13-0.0712%14 Aug
mirage13–8-0.0210%14 Aug
ancient3–13-0.1013%14 Aug
anubis14–16-0.068%14 Aug
cache13–4-0.034%14 Aug
mirage13–16-0.0222%14 Aug
ancient13–30.0214%14 Aug
nuke13–3-0.0340%14 Aug
cache13–8-0.0315%12 Aug
ancient15–15-0.0617%12 Aug
nuke9–130.0113%12 Aug
fachwerk9–13-0.0620%10 Aug
inferno8–10.065%10 Aug
shelter7–13-0.0519%10 Aug
dust213–9-0.0313%10 Aug
dust210–13-0.0215%10 Aug
cache10–13-0.0514%10 Aug
cache13–6-0.0220%10 Aug
inferno13–11-0.0717%9 Aug
anubis13–10-0.0712%9 Aug
mirage13–110.0018%9 Aug
ancient16–13-0.0411%9 Aug
cache13–40.0013%8 Aug
dust210–13-0.008%7 Aug
inferno13–4-0.0512%7 Aug
anubis13–3-0.0820%7 Aug
mirage4–13-0.0510%7 Aug
mirage13–5-0.0115%7 Aug
inferno8–13-0.0619%5 Aug
ancient13–30.0311%5 Aug
cache7–13-0.047%5 Aug
mirage13–7-0.0715%5 Aug
ancient6–13-0.0522%3 Aug
dust213–30.1025%3 Aug
cache13–40.0026%2 Aug
anubis15–15-0.0824%2 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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