Comboldam — CS2 Stats

76561198340100498[U:1:379834770]✓ No bans

2,056Tracked matches55%Win rate2020Tracked since
4,535Hours in CS33Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating24,189Top 50% of 819 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#4110 of 21651 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGComboldamFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER24,189 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47485Last 10047%Win rateLWWWWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.7
Aggression8.6
Utility5.2
Positioning5.5
Opening Duels3.1
Clutch3.2

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 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim6.7
Positioning5.5
Utility5.2
Mechanics6.4
Opening Duels3.1
Win Impact6.7

Composite 5.9/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time505ms−97ms
first ⅓ avg 603ms → last ⅓ avg 505ms
Headshot accuracy21.9%−0.2%
first ⅓ avg 22.1% → last ⅓ avg 21.9%

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

0.12Best rating — train 9–13
132Biggest win — mirage
8Longest win streak
413In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B29151452%-0.00
mirageB1910953%-0.01
trainD113827%0.01
ancientA106460%-0.02
cacheA106460%0.00
infernoD92722%0.02
nukeB84450%0.01
anubis31233%0.01
vertigo1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,341Lifetime kills
1.08K/D · Top 50% of Pink band
6,670Matches
46.8%Match win rate · Top 50% of Pink band
49.6%Headshot % · Top 50% of Pink band
11.7%Shot accuracy
15,592MVPs
2,656Hours (in match)
6,025Bombs planted
1,138Bombs defused

Most-used weapons

AK-4734,653
AWP18,530
SG 5533,598
P903,373
AUG3,174

Lifetime map wins

23,685dust2
5,554inferno
5,427office
3,375nuke
2,828vertigo
961train
394cbble
258lake

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

Faceit stats

Combat

470Matches
50%Win rate
1.06Avg K/D
77.0ADR
55%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8050%1.0514.5
Inferno7748%1.1115.5
Dust26455%1.0415.5
Vertigo5646%1.0016.3
Anubis4040%1.0215.3
Nuke3543%1.0815.3
Overpass2167%0.9815.9
Ancient1942%0.9616.4

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.

22.2%Headshot accuracy
29.8%Accuracy (enemy spotted)
28.8%Spray accuracy
78.7%Counter-strafing
10.3°Preaim
505msReaction time
37.9%T opening success
47.1%CT opening success
0.47Enemies flashed / flash
5.5%Flash assists
5.64HE damage / grenade
13.52Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.472 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.8501% — below the 40% mark we flag

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.

22% 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
inferno9–13-0.0516%27 Aug
dust213–70.0114%27 Aug
nuke13–50.0123%27 Aug
dust213–11-0.0622%27 Aug
nuke13–5-0.0133%27 Aug
mirage13–3-0.0219%24 Aug
inferno11–130.0621%24 Aug
anubis11–130.0029%24 Aug
dust211–13-0.0215%24 Aug
mirage11–13-0.0220%23 Aug
inferno13–11-0.0443%23 Aug
dust216–130.0620%23 Aug
mirage13–100.0913%22 Aug
mirage11–13-0.0120%22 Aug
dust213–10-0.0222%21 Aug
dust213–100.0124%21 Aug
ancient8–13-0.0516%21 Aug
cache13–7-0.0524%21 Aug
inferno1–60.1039%21 Aug
inferno3–130.0020%21 Aug
mirage10–13-0.0516%20 Aug
cache15–150.0215%20 Aug
ancient13–80.0422%20 Aug
cache14–160.0129%19 Aug
mirage16–130.0523%19 Aug
dust212–16-0.0828%19 Aug
dust213–10-0.0423%18 Aug
cache13–80.0021%18 Aug
mirage11–13-0.0525%18 Aug
ancient13–9-0.0323%18 Aug
anubis10–130.0624%17 Aug
cache13–40.0610%17 Aug
nuke10–13-0.059%17 Aug
dust213–50.0824%17 Aug
dust213–110.0827%17 Aug
ancient7–13-0.0724%16 Aug
dust213–5-0.0633%16 Aug
dust213–16-0.0115%15 Aug
dust211–13-0.0310%15 Aug
train0–13-0.0427%15 Aug
cache5–13-0.0017%15 Aug
train9–130.1217%15 Aug
ancient13–70.0119%14 Aug
train6–13-0.0131%14 Aug
dust211–13-0.0318%14 Aug
train12–120.0121%13 Aug
train13–40.1226%13 Aug
nuke8–130.0731%13 Aug
train11–13-0.0422%13 Aug
dust213–16-0.0118%13 Aug
mirage13–50.0221%12 Aug
anubis13–9-0.0321%12 Aug
train13–100.0423%12 Aug
train10–130.0447%12 Aug
train3–0-0.1050%12 Aug
mirage13–40.0121%12 Aug
dust213–100.0323%11 Aug
cache13–90.0121%11 Aug
dust213–70.0422%11 Aug
dust213–100.0721%10 Aug
mirage13–10-0.0424%10 Aug
mirage13–9-0.0316%9 Aug
inferno11–130.0228%9 Aug
dust210–130.0625%8 Aug
dust210–13-0.0412%8 Aug
ancient16–130.0127%7 Aug
cache6–130.0731%6 Aug
nuke13–70.0417%6 Aug
cache8–2-0.0520%4 Aug
mirage8–13-0.0715%28 Jul
mirage15–15-0.0218%16 Jul
inferno9–13-0.0120%14 Jul
ancient2–13-0.0424%14 Jul
mirage13–100.0635%14 Jul
cache13–5-0.0331%14 Jul
mirage9–13-0.0720%14 Jul
mirage11–13-0.0628%14 Jul
nuke12–16-0.0228%13 Jul
dust21–13-0.0226%13 Jul
mirage0–13-0.0614%10 Jul
mirage13–9-0.0119%10 Jul
dust216–130.0235%10 Jul
nuke6–13-0.0119%10 Jul
dust213–6-0.0226%10 Jul
ancient13–10-0.0124%10 Jul
ancient15–15-0.0114%9 Jul
dust29–13-0.0216%9 Jul
inferno13–30.0517%9 Jul
train10–130.0020%8 Jul
inferno8–80.0728%8 Jul
vertigo4–9-0.0828%8 Jul
train6–13-0.0319%8 Jul
dust211–13-0.0316%6 Jul
dust212–16-0.0117%6 Jul
mirage13–20.0811%6 Jul
nuke16–140.0224%6 Jul
dust213–90.0428%5 Jul
ancient13–90.0035%5 Jul
dust25–13-0.0616%2 Jul
dust25–13-0.0221%2 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 →