KOMBAT

KOMBAT — CS2 Stats

76561199681697615[U:1:1721431887]Steam profile ↗✓ No bans

250Tracked matches50%Win rate2025Tracked since
583Hours in CS5Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim60
Positioning59
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLLWWWLWWL

Last 10 vs previous 10: +30pp win rate · +0.08 avg rating · +7.6pp headshot accuracy · −76ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

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 (+2 against its own average).

Aim6.0
Utility4.0
Positioning5.9
Opening Duels3.6
Clutch2.2

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

m0NESY

Plays most like m0NESY 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 585ms 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

Aim6.0
Positioning5.9
Utility4.0
Mechanics4.5
Opening Duels5.2
Win Impact5.0

Composite 5.3/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time579ms−107ms
first ⅓ avg 686ms → last ⅓ avg 579ms
Headshot accuracy15.4%−2.6%
first ⅓ avg 18.0% → last ⅓ avg 15.4%

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.

Personal bests

0.15Best match rating · 13–6 · dust2, 20 Sept →
64%Best headshot accuracy · 13–1 · cache, 30 Aug →
352msFastest reaction time · 2–9 · vertigo, 30 Sept →
13–0Biggest win · mirage, 3 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 57% over 35anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A3520–1557%0.01
mirageC2310–1343%0.01
infernoB126–650%0.03
anubisD60–60%0.01
nukeC52–340%-0.06
ancient—40–40%-0.04
cache—42–250%0.02
vertigo—30–30%-0.06
train—22–0100%-0.03
overpass—22–0100%-0.03
office—10–10%-0.07
debris—11–0100%-0.09
shelter—10–10%-0.08
boulder—11–0100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,100Lifetime kills
0.90K/D
981Matches
46.2%Match win rate · Top 50% of tracked players
48.0%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
2,316MVPs
375Hours (in match)
803Bombs planted
151Bombs defused

Most-used weapons

Lifetime map wins

2,521dust2
911inferno
474nuke
181train
61vertigo
20office
3italy
3ar_shoots

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

Faceit stats

Combat

32Matches
44%Win rate
0.67Avg K/D
58.8ADR
47%Headshot %

Clutches & streaks

31%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1118%0.669.0
Dust21155%0.7514.7
Nuke333%0.437.3
Ancient333%0.458.0
Inferno2100%0.6412.5
Overpass1100%0.6712.0
Train1100%1.4413.0

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.

17.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.3%Spray accuracy
70.4%Counter-strafing
9.7°Preaim
585msReaction time
56.8%T opening success
45.0%CT opening success
0.51Enemies flashed / flash
2.2%Flash assists
8.85HE damage / grenade
8.21Flashes / match

Recommended for you

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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.1014%29 Oct →
dust210–13-0.0341%28 Oct →
inferno9–130.0111%28 Oct →
inferno9–00.0710%26 Oct →
dust213–110.0419%26 Oct →
dust213–8-0.0214%22 Oct →
dust24–13-0.0822%15 Oct →
dust216–14-0.0215%14 Oct →
dust213–110.0030%11 Oct →
dust27–130.0118%11 Oct →
inferno3–9-0.0212%8 Oct →
mirage2–13-0.0411%8 Oct →
dust28–13-0.094%7 Oct →
dust213–10.0112%30 Sept →
inferno6–9-0.0611%30 Sept →
nuke4–9-0.1516%30 Sept →
vertigo2–9-0.190%30 Sept →
nuke9–6-0.087%30 Sept →
dust212–12-0.0122%30 Sept →
mirage13–11-0.0523%28 Sept →
mirage6–130.0224%23 Sept →
dust213–80.0412%23 Sept →
inferno5–130.0215%23 Sept →
dust20–2-0.090%20 Sept →
nuke6–13-0.0315%20 Sept →
mirage13–6-0.049%20 Sept →
mirage12–120.114%20 Sept →
dust213–60.0018%20 Sept →
dust213–60.1515%20 Sept →
anubis8–13-0.0330%20 Sept →
mirage5–13-0.0416%16 Sept →
dust28–130.0117%16 Sept →
mirage13–7-0.0021%16 Sept →
mirage13–90.0717%13 Sept →
dust26–13-0.0823%13 Sept →
nuke13–90.0223%13 Sept →
inferno4–13-0.0811%13 Sept →
dust211–7-0.0611%13 Sept →
mirage6–130.0613%13 Sept →
dust213–40.0723%13 Sept →
mirage13–5-0.037%13 Sept →
mirage3–13-0.0420%13 Sept →
inferno13–30.1221%10 Sept →
dust27–13-0.0123%10 Sept →
mirage10–130.0024%10 Sept →
inferno9–30.0915%6 Sept →
mirage5–13-0.0727%6 Sept →
train13–9-0.078%6 Sept →
ancient4–13-0.116%6 Sept →
cache13–20.0119%30 Aug →
dust210–130.0121%30 Aug →
cache13–10.0164%30 Aug →
dust212–120.0512%30 Aug →
dust213–110.0623%13 Aug →
mirage8–130.0525%13 Aug →
dust24–130.047%13 Aug →
dust213–70.0331%13 Aug →
anubis8–13-0.0413%13 Aug →
dust213–60.0213%8 Aug →
dust213–9-0.005%8 Aug →
inferno13–50.0722%8 Aug →
office3–13-0.0721%4 Aug →
overpass13–7-0.0336%4 Aug →
overpass13–4-0.0417%4 Aug →
vertigo6–130.0620%3 Aug →
mirage13–00.098%3 Aug →
dust25–130.0214%3 Aug →
dust23–130.0012%3 Aug →
anubis6–130.0623%3 Aug →
debris9–5-0.098%1 Aug →
dust213–100.0124%1 Aug →
dust213–70.0121%1 Aug →
anubis8–130.0418%1 Aug →
ancient11–13-0.0130%1 Aug →
mirage8–13-0.0215%1 Aug →
mirage7–13-0.098%29 Jul →
cache7–130.0543%29 Jul →
dust213–70.0840%29 Jul →
shelter1–13-0.0820%29 Jul →
dust213–80.0218%29 Jul →
mirage13–40.135%29 Jul →
mirage13–100.0118%29 Jul →
dust26–0-0.010%29 Jul →
anubis9–13-0.038%29 Jul →
cache3–130.018%29 Jul →
vertigo11–13-0.0622%29 Jul →
mirage7–13-0.0321%28 Jul →
inferno10–13-0.0120%28 Jul →
boulder13–2-0.055%28 Jul →
nuke9–13-0.089%28 Jul →
mirage13–8-0.0721%28 Jul →
inferno13–50.0117%27 Jul →
mirage8–130.1019%27 Jul →
dust22–130.0721%27 Jul →
mirage13–60.0125%27 Jul →
ancient4–13-0.0130%27 Jul →
anubis6–130.0533%27 Jul →
dust213–50.0111%26 Jul →
ancient7–13-0.038%26 Jul →
train13–50.0215%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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