Polo — CS2 Stats

76561199224279761[U:1:1264014033]

1,270Tracked matches38%Win rate2023Tracked since
1,665Hours in CS28Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating12,178Blue band · top ~43.4% of ranked players (population est.)
CSDB Leaderboard#31347 of 45969 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate34.1%41.4%44.2%10.1% short
Shot accuracy2.9%9.0%11.6%8.7% short
Kill/death ratio0.960.971.030.07 short
Match win rate46.7%43.7%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGPoloPREMIER12,178 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateTLWLLLWWLW

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

Player DNA

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

Aim6.5
Aggression8.2
Utility6.1
Positioning5.8
Opening Duels3.5
Clutch6.6

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

b1t

Plays most like b1t 91% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 581ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.5
Positioning5.8
Utility6.1
Mechanics4.1
Opening Duels3.5
Win Impact1.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time585ms−47ms
first ⅓ avg 632ms → last ⅓ avg 585ms
Headshot accuracy16.0%+1.0%
first ⅓ avg 15.0% → last ⅓ avg 16.0%

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

0.13Best rating — nuke 13–7
131Biggest win — vertigo
6Longest win streak
26In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 67% over 12infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD1851328%0.01
nukeB137654%0.01
officeB136746%-0.00
dust2S128467%0.01
ancientA127558%0.00
cacheB105550%0.01
infernoD91811%0.00
anubisA85363%0.02
train2020%-0.04
vertigo220100%0.01
overpass110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,491Lifetime kills
0.96K/D
2,453Matches
46.7%Match win rate · Top 25% of Blue band
34.1%Headshot %
2.9%Shot accuracy
4,412MVPs
912Hours (in match)
2,009Bombs planted
520Bombs defused

Most-used weapons

Lifetime map wins

3,831nuke
3,279inferno
3,046dust2
1,812vertigo
696office
568train
65italy
5cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

32Matches
56%Win rate
1.07Avg K/D
76.6ADR
29%Headshot %

Clutches & streaks

53%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke862%1.0516.1
Ancient667%1.2516.3
Anubis667%1.1414.7
Mirage560%0.9811.2
Vertigo20%0.5810.5
Dust2250%1.4320.5
Inferno250%0.8714.0
Train10%0.7613.0

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.

15.7%Headshot accuracy
39.2%Accuracy (enemy spotted)
38.4%Spray accuracy
68.3%Counter-strafing
10.4°Preaim
581msReaction time
40.7%T opening success
46.9%CT opening success
0.60Enemies flashed / flash
5.6%Flash assists
8.99HE damage / grenade
10.63Flashes / match

Recommended for you

Spend your practice time on Inferno

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train12–12-0.039%29 Aug
dust29–130.0413%29 Aug
ancient13–20.0623%29 Aug
nuke0–13-0.0416%29 Aug
mirage5–13-0.0317%29 Aug
mirage5–130.0523%29 Aug
office13–40.0120%27 Aug
nuke13–30.017%27 Aug
mirage3–13-0.0210%27 Aug
overpass13–100.0116%26 Aug
cache13–90.0318%26 Aug
office11–13-0.0310%26 Aug
dust213–70.0724%25 Aug
inferno13–60.0115%25 Aug
nuke13–10-0.0020%24 Aug
office13–11-0.0116%23 Aug
nuke8–13-0.0216%23 Aug
office9–130.0116%23 Aug
cache11–130.0719%23 Aug
office10–13-0.038%23 Aug
cache11–130.056%23 Aug
cache5–13-0.0524%23 Aug
inferno6–13-0.0215%20 Aug
nuke9–7-0.028%20 Aug
mirage5–13-0.0317%20 Aug
dust213–100.019%20 Aug
ancient6–13-0.0015%20 Aug
inferno0–3-0.030%20 Aug
dust27–130.0317%20 Aug
anubis0–5-0.0550%20 Aug
anubis13–30.0320%19 Aug
inferno9–13-0.0218%19 Aug
cache6–13-0.0112%18 Aug
ancient13–9-0.037%18 Aug
mirage13–70.037%18 Aug
ancient13–90.0218%18 Aug
mirage13–90.0421%18 Aug
dust29–130.0115%18 Aug
anubis7–13-0.058%18 Aug
mirage13–40.0721%18 Aug
ancient13–90.0013%18 Aug
cache6–13-0.0222%18 Aug
office13–9-0.0511%17 Aug
office11–13-0.028%17 Aug
dust213–3-0.0313%17 Aug
cache13–70.0126%16 Aug
nuke11–13-0.029%14 Aug
vertigo13–2-0.0214%14 Aug
office13–60.0116%14 Aug
office12–12-0.0016%12 Aug
nuke13–70.0419%12 Aug
nuke8–13-0.0114%12 Aug
vertigo13–10.048%12 Aug
office13–30.0215%12 Aug
inferno9–130.0318%12 Aug
mirage1–6-0.0138%12 Aug
train10–13-0.0511%12 Aug
dust213–4-0.0313%12 Aug
ancient6–13-0.0410%10 Aug
inferno5–13-0.0214%10 Aug
anubis13–80.1118%9 Aug
nuke10–130.0520%7 Aug
ancient13–100.0610%7 Aug
anubis13–50.0215%7 Aug
anubis13–60.016%7 Aug
nuke13–100.0426%7 Aug
ancient13–9-0.008%7 Aug
anubis13–100.0519%6 Aug
mirage5–13-0.070%6 Aug
ancient9–13-0.047%5 Aug
inferno6–130.007%5 Aug
nuke6–130.0221%5 Aug
ancient5–130.0026%4 Aug
mirage8–130.0724%4 Aug
office13–70.0915%4 Aug
mirage7–13-0.0721%4 Aug
office7–130.0118%3 Aug
cache13–80.0213%3 Aug
mirage10–13-0.0319%3 Aug
inferno7–130.0316%3 Aug
inferno6–130.0523%2 Aug
cache16–13-0.027%2 Aug
mirage10–130.027%2 Aug
mirage13–60.038%2 Aug
mirage13–20.0512%2 Aug
anubis15–150.0116%1 Aug
dust213–80.0417%1 Aug
mirage11–130.0719%1 Aug
mirage12–120.0414%1 Aug
dust26–00.0222%1 Aug
office10–13-0.0522%30 Jul
ancient9–130.0012%29 Jul
cache13–10-0.0415%29 Jul
ancient13–50.0313%29 Jul
dust213–9-0.0522%29 Jul
dust25–0-0.0218%29 Jul
mirage4–13-0.0812%29 Jul
nuke13–70.1314%29 Jul
dust24–130.0310%29 Jul
nuke13–70.016%29 Jul

Match data via Leetify.

Recent teammates

Milestones

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