Kwondo — CS2 Stats

76561199069068360[U:1:1108802632]

1,827Tracked matches64%Win rate2020Tracked since
2,153Hours in CS47Hrs last 2 wks
CSDB Rating7.1 StrongAggressive Rifler
Premier CS Rating22,717Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#4983 of 17768 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band median
Headshot rate57.7%48.1%
Shot accuracy12.9%12.9%
Kill/death ratio1.051.08
Match win rate42.6%46.5%

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CSDB.GGKwondoPREMIER22,717 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateLLWWTLWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression7.2
Utility5.5
Positioning6.0
Opening Duels3.8
Clutch5.4

Strong CT-side openerLimited utility dependence

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim8.0
Positioning6.0
Utility5.5
Mechanics7.8
Opening Duels3.8
Win Impact9.8

Composite 7.1/10 (Strong), 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 rating0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time565ms−19ms
first ⅓ avg 584ms → last ⅓ avg 565ms
Headshot accuracy20.4%−4.7%
first ⅓ avg 25.0% → last ⅓ avg 20.4%

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

0.14Best rating — dust2 13–9
132Biggest win — anubis
10Longest win streak
L2Current streak
55In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 70% over 20anubisWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB22111150%0.01
cacheS2014670%0.03
anubisC1981142%0.02
nukeB136746%0.02
ancientA95456%0.02
dust2B84450%0.02
mirage43175%-0.00
train21150%-0.02
vertigo21150%0.01
overpass110100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,132Lifetime kills
1.05K/D
2,661Matches
42.6%Match win rate
57.7%Headshot % · Top 25% of Pink band
12.9%Shot accuracy · Top 50% of Pink band
6,235MVPs
2,368Hours (in match)
3,331Bombs planted
674Bombs defused

Most-used weapons

Lifetime map wins

5,049inferno
3,049dust2
1,494vertigo
1,313nuke
386train
80office
29cbble
8italy

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

Faceit stats

Combat

336Matches
54%Win rate
1.23Avg K/D
91.4ADR
46%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo2673%1.3017.2
Mirage2143%1.2618.3
Anubis1771%1.2717.6
Ancient1759%1.4520.1
Inferno1567%1.2316.6
Overpass1050%1.6020.1
Dust2367%1.1818.3
Nuke20%0.9012.5

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.

20.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.5%Spray accuracy
85.0%Counter-strafing
10.2°Preaim
563msReaction time
37.4%T opening success
52.8%CT opening success
0.62Enemies flashed / flash
12.2%Flash assists
7.41HE damage / grenade
4.95Flashes / 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 37.4434% — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache9–130.0130%28 Aug
nuke7–13-0.0417%28 Aug
anubis13–40.1313%28 Aug
cache13–4-0.0214%27 Aug
anubis12–120.0124%27 Aug
inferno6–13-0.0728%26 Aug
cache6–0-0.0025%26 Aug
anubis13–100.0320%23 Aug
mirage13–6-0.0215%23 Aug
ancient13–70.0325%23 Aug
overpass13–80.0719%23 Aug
anubis11–130.0318%23 Aug
cache13–60.0522%23 Aug
inferno13–7-0.0119%23 Aug
train11–13-0.0114%23 Aug
inferno13–11-0.0324%22 Aug
anubis6–13-0.0226%22 Aug
ancient13–6-0.0026%22 Aug
train13–5-0.0213%22 Aug
nuke6–13-0.0622%22 Aug
cache12–12-0.0022%22 Aug
anubis8–130.0415%22 Aug
inferno13–70.0414%22 Aug
nuke13–80.0625%21 Aug
inferno9–3-0.0428%21 Aug
ancient13–10-0.0622%21 Aug
anubis13–20.0222%20 Aug
cache5–130.0310%20 Aug
inferno10–130.0216%20 Aug
cache13–50.0220%20 Aug
dust22–13-0.0611%16 Aug
inferno6–13-0.0226%16 Aug
cache13–70.0530%16 Aug
nuke11–130.0117%16 Aug
anubis7–13-0.0033%16 Aug
nuke8–13-0.0717%15 Aug
dust212–120.0424%15 Aug
mirage13–2-0.0320%15 Aug
inferno12–120.0516%15 Aug
anubis10–13-0.0014%15 Aug
dust25–13-0.0217%15 Aug
nuke13–90.0919%15 Aug
anubis13–70.0223%15 Aug
cache13–7-0.0111%14 Aug
inferno13–80.0220%14 Aug
anubis13–4-0.0016%14 Aug
inferno13–50.018%13 Aug
nuke13–40.0321%13 Aug
cache13–70.0420%13 Aug
anubis8–13-0.0426%10 Aug
inferno13–60.0211%10 Aug
anubis12–120.1125%10 Aug
cache13–5-0.0111%10 Aug
inferno12–120.0121%9 Aug
cache13–70.0225%9 Aug
anubis13–80.0129%9 Aug
inferno3–130.0119%9 Aug
dust213–90.1435%8 Aug
nuke4–130.0126%8 Aug
anubis6–13-0.0327%8 Aug
nuke13–70.0214%8 Aug
vertigo5–13-0.0019%8 Aug
ancient13–70.0824%8 Aug
dust213–8-0.0325%8 Aug
mirage13–70.0131%8 Aug
inferno5–13-0.0225%4 Aug
ancient10–130.0625%4 Aug
cache7–130.0522%4 Aug
cache9–13-0.0133%2 Aug
anubis13–50.0225%2 Aug
inferno4–13-0.0711%2 Aug
dust27–13-0.0517%2 Aug
anubis7–13-0.0513%2 Aug
cache13–20.0534%2 Aug
ancient5–130.0115%1 Aug
cache13–50.0719%1 Aug
inferno13–80.0420%1 Aug
nuke13–80.0226%1 Aug
vertigo13–30.0316%1 Aug
inferno13–20.0629%1 Aug
cache13–50.0621%1 Aug
dust213–60.0831%1 Aug
ancient16–120.0022%1 Aug
cache13–7-0.0143%1 Aug
anubis13–50.0717%1 Aug
nuke7–130.0127%1 Aug
cache13–20.1227%1 Aug
anubis12–12-0.0229%31 Jul
inferno6–13-0.0036%31 Jul
nuke13–110.0716%31 Jul
inferno16–14-0.0242%31 Jul
dust213–110.0423%30 Jul
inferno8–130.0922%30 Jul
mirage10–130.0335%26 Jul
cache11–130.1332%26 Jul
ancient5–130.0521%26 Jul
inferno13–110.0824%26 Jul
ancient9–130.0433%25 Jul
nuke7–130.1024%25 Jul
inferno11–130.0321%25 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →