polo — CS2 Stats

76561198133283759[U:1:173018031]

844Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating21,458Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#12295 of 39186 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpoloFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,458 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWLLWWLLWWL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim7.5
Aggression5.9
Utility6.3
Positioning4.8
Opening Duels2.0
Clutch3.8

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: 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5
Positioning4.8
Utility6.3
Mechanics7.5
Opening Duels2.3
Win Impact5.0

Composite 6.1/10 (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+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time523ms−18ms
first ⅓ avg 542ms → last ⅓ avg 523ms
Headshot accuracy16.8%+0.4%
first ⅓ avg 16.4% → last ⅓ avg 16.8%

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

0.15Best rating — ancient 11–0
131Biggest win — overpass
5Longest win streak
77In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 64% over 11nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%-0.01
cacheB147750%0.00
infernoA117464%0.02
nukeC104640%0.01
mirageB105550%0.01
anubisA106460%-0.01
ancientA85363%0.03
trainA53260%0.04
vertigo3030%-0.04
overpass220100%0.08
shelter21150%0.04
eldorado1010%0.00
boulder110100%0.12
fachwerk1010%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches
48%Win rate
1.16Avg K/D
100.4ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.3419.5
Dust240%0.9817.8
Mirage425%1.4622.5
Anubis3100%1.7522.3
Nuke2100%1.6619.0
Inferno2100%2.4822.0
Cache10%0.6210.0

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.

17.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.7%Spray accuracy
83.9%Counter-strafing
9.7°Preaim
538msReaction time
27.3%T opening success
48.4%CT opening success
0.60Enemies flashed / flash
6.0%Flash assists
7.56HE 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 27.3145% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–40.0816%29 Aug
train6–130.1323%29 Aug
dust29–130.0025%29 Aug
cache13–80.1318%29 Aug
dust213–11-0.0117%29 Aug
eldorado0–30.000%29 Aug
dust23–13-0.0821%29 Aug
inferno13–4-0.049%29 Aug
cache13–4-0.0123%28 Aug
cache7–130.0219%28 Aug
dust211–13-0.0612%28 Aug
dust213–11-0.0417%28 Aug
dust213–110.0114%28 Aug
mirage10–13-0.0414%26 Aug
dust213–30.0115%26 Aug
dust26–130.1015%26 Aug
anubis13–10-0.0712%25 Aug
dust23–120.0211%25 Aug
inferno13–9-0.0214%25 Aug
dust28–13-0.0014%25 Aug
nuke0–13-0.089%25 Aug
cache13–11-0.0210%22 Aug
ancient13–6-0.0126%22 Aug
ancient10–130.0813%19 Aug
inferno7–130.0726%19 Aug
nuke9–13-0.0214%19 Aug
train13–70.0825%19 Aug
train13–80.0223%18 Aug
dust213–40.0424%18 Aug
dust28–13-0.0528%18 Aug
ancient7–13-0.0117%18 Aug
cache13–11-0.0211%17 Aug
mirage13–80.0418%17 Aug
dust27–13-0.0318%15 Aug
cache5–13-0.0016%15 Aug
vertigo0–13-0.0715%13 Aug
inferno8–20.0911%13 Aug
nuke7–130.019%13 Aug
dust25–13-0.0315%8 Aug
dust25–13-0.0715%7 Aug
anubis13–3-0.0114%1 Aug
overpass13–10.0317%1 Aug
vertigo8–13-0.0222%29 Jul
nuke12–120.0627%23 Jul
anubis13–9-0.0814%23 Jul
mirage13–100.0021%21 Jul
inferno13–110.0718%21 Jul
inferno13–60.0311%20 Jul
nuke9–130.0128%19 Jul
ancient13–10.0911%19 Jul
mirage7–13-0.0316%18 Jul
nuke13–90.0610%17 Jul
cache3–130.0146%17 Jul
nuke13–60.0419%17 Jul
inferno11–13-0.017%17 Jul
boulder13–70.1218%17 Jul
fachwerk11–130.0519%17 Jul
shelter9–13-0.0213%17 Jul
cache8–130.0424%17 Jul
overpass13–30.1215%17 Jul
train5–13-0.0218%17 Jul
anubis12–120.035%17 Jul
cache13–6-0.0210%17 Jul
anubis10–13-0.0311%17 Jul
dust213–60.0922%15 Jul
ancient13–60.0515%15 Jul
nuke13–6-0.0119%15 Jul
inferno10–13-0.0123%15 Jul
dust27–13-0.0319%15 Jul
cache14–16-0.0618%14 Jul
anubis8–13-0.0318%14 Jul
dust214–16-0.106%14 Jul
dust213–9-0.089%14 Jul
mirage13–80.0716%14 Jul
inferno6–13-0.0313%14 Jul
vertigo0–10-0.0415%14 Jul
train13–11-0.049%14 Jul
shelter13–50.0928%14 Jul
mirage13–9-0.0116%13 Jul
cache7–13-0.0016%13 Jul
anubis9–13-0.0211%13 Jul
cache13–6-0.0611%13 Jul
dust213–90.0119%13 Jul
ancient13–8-0.0712%13 Jul
mirage13–30.0315%12 Jul
anubis13–70.059%11 Jul
ancient13–16-0.058%10 Jul
nuke6–13-0.0315%9 Jul
dust213–70.0314%8 Jul
inferno13–90.0215%8 Jul
mirage11–13-0.0122%6 Jul
dust213–40.0323%5 Jul
cache10–13-0.0326%5 Jul
cache13–30.0320%5 Jul
mirage9–130.0524%4 Jul
anubis13–60.0123%3 Jul
ancient11–00.1525%2 Jul
inferno13–100.0116%2 Jul
anubis13–80.0116%2 Jul
mirage11–13-0.0214%2 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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