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Tea — CS2 Stats

76561199185566433[U:1:1225300705]✓ No bans

1,403Tracked matches50%Win rate2023Tracked since
CSDB Rating4.2 Developing
FaceitLevel 3 · 765 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTeaFACEITLevel 3 · 765 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning42
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWWLLLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Aim4.4
Aggression4.7
Utility5.1
Positioning4.2
Opening Duels1.2
Clutch4.0

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 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 730ms 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

Aim4.4
Positioning4.2
Utility5.1
Mechanics7.6
Opening Duels1.2
Win Impact5.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time724ms−17ms
first ⅓ avg 741ms → last ⅓ avg 724ms
Headshot accuracy14.6%+1.6%
first ⅓ avg 13.0% → last ⅓ avg 14.6%

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

0.14Best rating — nuke 2–0
13–2Biggest win — mirage
4Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 71% over 17ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%-0.01
dust2S1712–571%0.01
nukeB178–947%0.00
infernoB179–853%0.01
ancientD81–713%-0.02
anubisD72–529%-0.01
cacheD62–433%-0.02
overpassD62–433%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

792Matches
50%Win rate
0.95Avg K/D
74.8ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20050%0.9813.7
Dust216043%0.9213.7
Inferno11855%0.9314.1
Nuke9856%0.9514.3
Ancient8151%0.9615.2
Anubis5437%0.8113.5
Overpass4171%1.1315.5
Train2442%1.0316.1

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.

14.5%Headshot accuracy
39.0%Accuracy (enemy spotted)
37.3%Spray accuracy
84.2%Counter-strafing
15.5°Preaim
730msReaction time
30.8%T opening success
38.5%CT opening success
0.49Enemies flashed / flash
7.5%Flash assists
6.95HE damage / grenade
7.89Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.4748° — above the 12° mark we flag

    Aim Training →
  2. 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 14.4503% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 729.9798ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.1220%31 Jul →
nuke13–80.1314%31 Jul →
anubis6–130.0321%30 Jul →
ancient3–13-0.0613%30 Jul →
nuke13–16-0.059%30 Jul →
mirage13–11-0.0415%30 Jul →
dust213–100.0813%30 Jul →
inferno3–130.0211%30 Jul →
mirage13–40.0816%30 Jul →
inferno16–12-0.086%16 Jul →
inferno11–130.0324%16 Jul →
mirage16–14-0.0115%15 Jul →
mirage10–13-0.0613%15 Jul →
cache6–13-0.0412%15 Jul →
nuke13–100.0020%15 Jul →
mirage13–10-0.0216%14 Jul →
dust23–13-0.056%14 Jul →
cache12–16-0.0313%14 Jul →
ancient7–13-0.0119%14 Jul →
cache13–5-0.0719%13 Jul →
anubis4–13-0.0714%13 Jul →
mirage13–7-0.0914%13 Jul →
anubis8–130.0412%11 Jul →
mirage13–110.1215%11 Jul →
dust29–13-0.0614%10 Jul →
anubis13–10-0.0725%10 Jul →
cache13–11-0.0011%10 Jul →
overpass13–5-0.0413%5 Jul →
inferno9–130.049%23 Jun →
mirage8–130.0215%23 Jun →
inferno9–130.0112%22 Jun →
inferno8–130.0421%22 Jun →
nuke7–13-0.0513%10 May →
nuke13–100.0012%10 May →
dust213–10-0.0217%7 May →
cache3–130.0213%3 May →
cache3–130.0114%3 May →
inferno13–7-0.0424%2 May →
anubis7–130.0113%2 May →
nuke13–9-0.0416%2 May →
dust213–8-0.019%2 May →
nuke13–110.018%24 Apr →
anubis2–13-0.0914%24 Apr →
mirage13–6-0.1223%24 Apr →
inferno13–80.0618%24 Apr →
dust213–9-0.0218%24 Apr →
mirage13–20.0017%24 Apr →
mirage5–130.0117%23 Apr →
mirage11–130.0220%23 Apr →
nuke13–90.0820%23 Apr →
dust213–6-0.0310%23 Apr →
mirage0–7-0.030%23 Apr →
dust213–10-0.0123%23 Apr →
inferno13–110.0514%23 Apr →
inferno7–13-0.087%21 Apr →
dust29–13-0.0426%15 Apr →
dust210–130.0423%15 Apr →
anubis13–80.084%15 Apr →
ancient9–130.0016%9 Apr →
ancient5–13-0.0219%8 Apr →
overpass13–70.0613%7 Apr →
mirage9–130.039%6 Apr →
overpass7–13-0.089%5 Apr →
inferno13–110.058%5 Apr →
inferno13–40.0518%5 Apr →
nuke13–40.0517%5 Apr →
inferno3–110.1120%4 Apr →
overpass15–15-0.017%4 Apr →
overpass11–130.1213%4 Apr →
dust211–13-0.0016%4 Apr →
inferno13–80.0510%4 Apr →
overpass11–130.0911%19 Mar →
ancient8–13-0.0415%19 Mar →
inferno6–13-0.089%19 Mar →
nuke2–00.140%19 Mar →
nuke5–13-0.1313%19 Mar →
ancient13–100.0110%19 Mar →
ancient7–100.0910%19 Mar →
nuke8–13-0.0210%19 Mar →
nuke9–13-0.0750%19 Mar →
mirage10–130.0118%19 Mar →
nuke15–15-0.019%18 Mar →
mirage13–6-0.048%18 Mar →
mirage3–7-0.025%18 Mar →
dust213–10-0.0013%18 Mar →
nuke15–150.0612%18 Mar →
mirage11–13-0.0514%18 Mar →
mirage5–13-0.0316%18 Mar →
inferno13–10-0.0212%18 Mar →
dust213–4-0.0412%18 Mar →
dust213–80.0617%18 Mar →
mirage13–70.0413%18 Mar →
nuke3–13-0.0618%18 Mar →
mirage9–13-0.0315%17 Mar →
dust216–130.0216%17 Mar →
ancient5–13-0.1018%17 Mar →
mirage13–11-0.0013%9 Mar →
inferno13–100.028%8 Mar →
nuke8–13-0.026%8 Mar →
dust213–80.0614%27 Oct →

Match data via Leetify.

Milestones

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

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