Colevag (zont1x fan acc)

Colevag (zont1x fan acc) — CS2 Stats

FR76561198119141964[U:1:158876236]Steam profile ↗✓ No bans

1,147Tracked matches50%Win rate2020Tracked since
3,928Hours in CS5Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
CSDB Leaderboard#26779 of 259968 tracked
FaceitLevel 10 · 1,719 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,633 +529 28 Jul – 6 Oct · 17 days played
23,89224,754peak 24,75428 Jul6 Oct
Faceit ELO: 1,719 +0 29 Aug – 24 Sept · 8 observations
1,7191,719peak 1,71929 Aug24 Sept
24,754Peak Premier in tracked matches
1,719Highest Faceit ELO seen on CSDB
55Days played since 2026-07-28

Faceit ELO

  • At peak — 1,719
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 32 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-29
  • Level 7 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate38.4%50.9%
Shot accuracy17.5%13.7%
Kill/death ratio1.401.09
Match win rate46.9%48.4%

Share this profile

CSDB.GGColevag (zont1x fan acc)FACEITLevel 10 · 1,719 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO1,719csdb.gg/stats

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Performance scores

Aim79
Positioning71
Utility46

0–100 skill scores via Leetify.

Recent form

COLD64–31–5Last 10064%Win rateLLLLTWLWTW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 481ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 504ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 517ms

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 (+1.7 against its own average).

Aim7.9
Utility4.6
Positioning7.1
Opening Duels4.9
Clutch5.0

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

donk

Plays most like donk 90% 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.9
Positioning7.1
Utility4.6
Mechanics6.7
Opening Duels7.0
Win Impact5.0

Composite 6.4/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time518ms−90ms
first ⅓ avg 608ms → last ⅓ avg 518ms
Headshot accuracy14.6%+0.7%
first ⅓ avg 13.9% → last ⅓ avg 14.6%

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

0.16Best match rating · 12–12 · mirage, 7 Aug →
50%Best headshot accuracy · 1–4 · mirage, 6 Oct →
391msFastest reaction time · 13–10 · ancient, 26 Sept →
13–0Biggest win · nuke, 29 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
11–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 73% over 11anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S2215–768%0.01
infernoS1913–668%0.02
cacheA159–660%0.01
mirageA138–562%0.03
nukeS118–373%0.02
ancientA106–460%-0.00
anubisC94–544%0.02
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,883Lifetime kills
1.40K/D · Top 10% of Level 10 players
4,733Matches
46.9%Match win rate
38.4%Headshot %
17.5%Shot accuracy · Top 25% of Level 10 players
15,190MVPs
1,692Hours (in match)
5,638Bombs planted
1,247Bombs defused

Most-used weapons

AK-4732,569
AWP22,765
FAMAS2,057
MAC-101,859
Negev1,711

Lifetime map wins

8,728inferno
4,973nuke
4,471dust2
1,827train
1,235cbble
471vertigo
268office
81shorttrain

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

Faceit stats

Combat

318Matches
58%Win rate
1.31Avg K/D
82.4ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
29%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4466%1.1615.0
Dust23364%1.1414.6
Inferno2673%1.2916.4
Anubis2458%1.2317.1
Nuke2176%1.7320.3
Ancient1844%1.0315.3
Train333%2.1525.7
Overpass250%0.9817.5

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.

14.0%Headshot accuracy
39.0%Accuracy (enemy spotted)
42.1%Spray accuracy
80.1%Counter-strafing
10.1°Preaim
519msReaction time
60.3%T opening success
55.5%CT opening success
0.52Enemies flashed / flash
2.8%Flash assists
7.90HE damage / grenade
5.37Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0073% — below the 15% mark we flag

    Aim Training →
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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0223%2 Nov →
nuke10–13-0.0214%24 Oct →
dust21–13-0.0213%24 Oct →
anubis11–13-0.0511%21 Oct →
inferno12–120.0112%21 Oct →
mirage13–10.1015%21 Oct →
mirage5–130.0212%19 Oct →
cache13–100.0816%18 Oct →
cache12–12-0.0014%18 Oct →
inferno13–30.0728%17 Oct →
cache13–110.0618%16 Oct →
nuke13–9-0.0513%15 Oct →
nuke13–10-0.045%14 Oct →
mirage13–40.0612%12 Oct →
inferno6–13-0.0213%8 Oct →
inferno13–70.1010%7 Oct →
mirage1–4-0.0250%6 Oct →
dust28–130.0416%5 Oct →
cache6–13-0.0810%5 Oct →
cache6–130.0116%2 Oct →
ancient5–13-0.058%2 Oct →
dust213–90.0419%30 Sept →
anubis9–130.0014%30 Sept →
cache6–13-0.046%29 Sept →
anubis13–90.018%29 Sept →
dust210–130.0113%28 Sept →
inferno13–90.1214%27 Sept →
cache7–6-0.0213%27 Sept →
nuke13–100.029%27 Sept →
nuke25–210.0219%26 Sept →
ancient13–10-0.008%26 Sept →
mirage12–120.0314%26 Sept →
anubis13–60.0818%25 Sept →
dust29–130.0315%23 Sept →
anubis12–120.066%22 Sept →
dust213–100.0520%20 Sept →
anubis13–90.0416%20 Sept →
vertigo13–70.046%19 Sept →
inferno7–130.016%19 Sept →
nuke5–13-0.0115%18 Sept →
cache13–5-0.0030%18 Sept →
ancient13–50.0719%18 Sept →
dust27–3-0.0524%17 Sept →
dust213–7-0.1020%17 Sept →
inferno4–20.000%17 Sept →
dust28–13-0.0316%16 Sept →
dust213–9-0.017%10 Sept →
ancient9–13-0.039%10 Sept →
mirage22–20-0.039%7 Sept →
inferno13–10-0.0111%5 Sept →
mirage13–11-0.0213%3 Sept →
anubis13–5-0.0312%1 Sept →
nuke10–13-0.0328%31 Aug →
dust213–90.0516%30 Aug →
cache11–13-0.0111%29 Aug →
dust219–17-0.0215%29 Aug →
inferno13–70.0115%28 Aug →
dust213–8-0.0413%28 Aug →
nuke13–60.0514%28 Aug →
dust213–6-0.0024%26 Aug →
inferno9–13-0.0213%26 Aug →
dust27–130.0512%26 Aug →
cache13–110.0623%26 Aug →
cache6–130.0514%25 Aug →
inferno13–80.017%18 Aug →
dust213–20.0113%18 Aug →
inferno13–9-0.0311%17 Aug →
dust213–50.0521%16 Aug →
ancient10–13-0.047%16 Aug →
ancient13–4-0.0316%11 Aug →
inferno13–10-0.0014%11 Aug →
dust213–100.0713%11 Aug →
dust213–10-0.0010%10 Aug →
ancient13–100.1117%10 Aug →
cache13–11-0.028%10 Aug →
inferno11–13-0.018%9 Aug →
anubis16–190.0212%8 Aug →
mirage12–120.1612%7 Aug →
inferno13–90.1015%7 Aug →
mirage13–80.0315%6 Aug →
inferno13–90.018%6 Aug →
mirage13–100.029%6 Aug →
inferno13–90.079%5 Aug →
mirage6–13-0.0133%4 Aug →
ancient8–13-0.068%4 Aug →
mirage13–50.0121%3 Aug →
dust213–40.0519%3 Aug →
ancient13–110.0219%3 Aug →
nuke13–10.1215%3 Aug →
nuke13–100.0811%2 Aug →
anubis5–130.0113%30 Jul →
ancient13–60.0111%30 Jul →
cache13–100.0811%30 Jul →
mirage13–110.0118%29 Jul →
inferno12–160.0313%29 Jul →
cache13–50.0417%29 Jul →
nuke13–00.0417%29 Jul →
inferno13–40.007%28 Jul →
dust213–11-0.0217%28 Jul →
cache13–90.0119%28 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.