Kondze

Kondze — CS2 Stats

PL76561198086417879[U:1:126152151]Steam profile ↗✓ No bans

3,981Tracked matches60%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGKondzeFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning66
Utility62

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateLWWWWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.07 avg rating · +8.1pp headshot accuracy · +51ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 541ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.5
Utility6.2
Positioning6.6
Opening Duels4.0
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 87% playstyle similarity

Most alike: utility contribution, 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 →

CSDB Rating breakdown

Aim7.5
Positioning6.6
Utility6.2
Mechanics6.6
Opening Duels6.5
Win Impact8.3

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time531ms+6ms
first ⅓ avg 525ms → last ⅓ avg 531ms
Headshot accuracy18.7%−1.5%
first ⅓ avg 20.3% → last ⅓ avg 18.7%

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.

Personal bests

0.11Best match rating · 13–6 · cache, 29 Sept →
39%Best headshot accuracy · 13–6 · inferno, 31 Oct →
344msFastest reaction time · 13–4 · dust2, 21 Sept →
13–3Biggest win · anubis, 24 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 71% over 21dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
anubisS2115–671%0.00
cacheA1912–763%0.01
ancientB168–850%-0.02
mirageA127–558%-0.02
nukeB115–645%-0.02
infernoS107–370%0.00
dust2D93–633%-0.04
vertigo—21–150%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,424Matches
52%Win rate
1.03Avg K/D
81.9ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage26848%0.9715.5
Ancient25251%1.0215.8
Anubis19751%1.0516.4
Inferno16558%1.0616.7
Cache8458%1.1717.6
Nuke7149%0.9716.4
Dust26340%0.9315.6
Vertigo4755%1.1916.0

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.

18.9%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.9%Spray accuracy
79.5%Counter-strafing
10.5°Preaim
527msReaction time
59.8%T opening success
52.5%CT opening success
0.58Enemies flashed / flash
6.9%Flash assists
8.43HE damage / grenade
10.03Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0413%31 Oct →
inferno13–80.0023%31 Oct →
inferno13–6-0.0039%31 Oct →
ancient13–100.0416%30 Oct →
anubis13–50.0712%28 Oct →
cache8–13-0.0330%27 Oct →
anubis16–130.0120%27 Oct →
anubis13–100.0018%25 Oct →
inferno13–90.0925%25 Oct →
cache13–90.0930%25 Oct →
nuke25–22-0.0418%25 Oct →
mirage3–13-0.0617%25 Oct →
inferno7–13-0.0322%25 Oct →
anubis13–4-0.036%24 Oct →
ancient8–13-0.069%24 Oct →
nuke7–13-0.0715%24 Oct →
cache10–13-0.0520%24 Oct →
mirage8–13-0.0121%24 Oct →
anubis13–40.0111%24 Oct →
ancient6–13-0.116%24 Oct →
anubis13–3-0.027%24 Oct →
anubis13–6-0.0131%19 Oct →
ancient11–13-0.0611%19 Oct →
mirage13–4-0.0215%19 Oct →
nuke16–130.0217%18 Oct →
anubis19–17-0.0416%18 Oct →
nuke10–13-0.0436%17 Oct →
cache13–60.0926%17 Oct →
anubis13–11-0.0112%17 Oct →
cache5–13-0.0118%17 Oct →
cache6–13-0.0423%8 Oct →
ancient13–8-0.0219%6 Oct →
cache16–14-0.0214%29 Sept →
cache13–60.1119%29 Sept →
nuke13–11-0.0220%29 Sept →
anubis13–160.079%28 Sept →
cache13–90.0121%28 Sept →
ancient13–7-0.0112%28 Sept →
inferno6–130.0219%28 Sept →
mirage5–13-0.0421%28 Sept →
mirage11–130.0023%28 Sept →
anubis13–8-0.0113%28 Sept →
ancient5–13-0.0419%27 Sept →
mirage13–100.0414%27 Sept →
dust210–13-0.0219%27 Sept →
nuke14–160.0322%27 Sept →
anubis13–70.0417%27 Sept →
ancient13–70.0121%27 Sept →
cache13–60.0220%27 Sept →
dust213–16-0.0511%27 Sept →
anubis11–13-0.0416%27 Sept →
ancient13–100.0614%27 Sept →
ancient13–7-0.0125%26 Sept →
mirage13–11-0.0110%26 Sept →
ancient11–130.0017%26 Sept →
anubis11–13-0.077%26 Sept →
vertigo13–50.0630%26 Sept →
cache16–140.0225%26 Sept →
ancient1–13-0.100%26 Sept →
cache13–6-0.0117%26 Sept →
dust210–13-0.0624%25 Sept →
anubis5–13-0.0424%25 Sept →
inferno13–110.0120%25 Sept →
mirage13–9-0.0719%25 Sept →
cache10–13-0.0020%25 Sept →
dust29–13-0.0610%25 Sept →
cache13–100.0423%24 Sept →
cache13–9-0.0918%24 Sept →
inferno13–7-0.0115%24 Sept →
cache16–190.0215%24 Sept →
nuke13–60.0516%24 Sept →
anubis13–50.0710%24 Sept →
vertigo8–13-0.0521%23 Sept →
ancient10–13-0.0319%23 Sept →
anubis13–80.0519%23 Sept →
mirage13–110.0316%23 Sept →
inferno13–11-0.0026%23 Sept →
nuke13–8-0.0616%22 Sept →
anubis16–130.0521%22 Sept →
nuke9–13-0.0125%22 Sept →
cache13–80.0424%22 Sept →
anubis10–13-0.0515%22 Sept →
inferno13–110.0131%21 Sept →
dust213–40.0113%21 Sept →
mirage8–13-0.0632%21 Sept →
ancient11–13-0.0322%21 Sept →
dust213–16-0.0316%21 Sept →
nuke6–13-0.0436%21 Sept →
dust213–70.018%20 Sept →
dust213–4-0.0331%20 Sept →
anubis13–70.0127%20 Sept →
ancient13–11-0.0115%20 Sept →
inferno1–13-0.0938%19 Sept →
mirage13–7-0.0414%19 Sept →
anubis8–13-0.0121%19 Sept →
cache5–13-0.0127%19 Sept →
cache16–14-0.0413%18 Sept →
dust25–13-0.1115%18 Sept →
mirage19–17-0.0217%18 Sept →
ancient13–70.0618%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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