VetoAxel C2 R2 Max

VetoAxel C2 R2 Max — CS2 Stats

EE76561198293518017[U:1:333252289]Steam profile ↗✓ No bans

1,171Tracked matches43%Win rate2020Tracked since
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating18,996Top 50% of 209,427 CSDB-tracked playersPurple band · top ~12.5% of ranked players (population est.)
CSDB Leaderboard#98020 of 257000 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,996 -1,688 3 Aug – 23 Oct · 30 days played
18,81521,733peak 21,7333 Aug23 Oct
22,119Peak Premier in tracked matches
39Days played since 2026-07-23

Premier CS Rating

  • 2,737 below peak (21,733)
  • -2,201 over 30 days · declining
  • -1,688 over 90 days
  • Next: Pink band at 20,000 — 1,004 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGVetoAxel C2 R2 MaxFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,996 · Purple bandcsdb.gg/stats

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Performance scores

Aim42
Positioning36
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLWWLWTLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −0.9pp headshot accuracy · −9ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 534ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 538ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim4.2
Utility4.5
Positioning3.6
Opening Duels0.0
Clutch5.0

Limited 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.

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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.6
Utility4.5
Mechanics2.8
Opening Duels0.7
Win Impact2.6

Composite 3.4/10 (Learning), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time535ms−68ms
first ⅓ avg 603ms → last ⅓ avg 535ms
Headshot accuracy14.2%−1.5%
first ⅓ avg 15.6% → last ⅓ avg 14.2%

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 · 13–7 · ancient, 3 Aug →
31%Best headshot accuracy · 13–5 · mirage, 21 Oct →
383msFastest reaction time · 10–13 · anubis, 15 Oct →
13–1Biggest win · mirage, 27 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 65% over 17dust2Weakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3416–1847%-0.02
anubisS1711–665%-0.01
infernoC146–843%-0.03
ancientC114–736%-0.04
dust2D101–910%-0.04
cacheC94–544%-0.02
nukeC52–340%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

214Matches
53%Win rate
0.70Avg K/D
65.1ADR
36%Headshot %

Clutches & streaks

45%1v1 clutch win
8%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3462%0.9112.7
Inferno2662%0.9113.1
Anubis2467%0.9313.8
Cache956%0.6510.2
Dust2825%0.6711.5
Ancient838%0.6310.1
Nuke757%0.8612.6
Vertigo786%1.0116.1

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.

13.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
36.4%Spray accuracy
62.6%Counter-strafing
11.9°Preaim
540msReaction time
31.0%T opening success
34.6%CT opening success
0.56Enemies flashed / flash
8.8%Flash assists
9.22HE damage / grenade
2.58Flashes / 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 13.9293% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5754 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 30.9562% — below the 40% mark we flag

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.

10% win rate across 10 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
mirage6–13-0.035%23 Oct →
cache13–20.0619%23 Oct →
mirage2–13-0.074%23 Oct →
ancient13–80.0120%23 Oct →
mirage13–8-0.0311%23 Oct →
mirage11–130.0215%23 Oct →
anubis13–9-0.0318%23 Oct →
mirage15–15-0.0310%22 Oct →
dust23–13-0.0917%22 Oct →
cache10–13-0.0117%22 Oct →
mirage13–5-0.0231%21 Oct →
mirage5–130.0014%21 Oct →
mirage13–70.0012%20 Oct →
ancient13–8-0.0115%19 Oct →
ancient8–13-0.086%19 Oct →
inferno10–13-0.0116%18 Oct →
ancient2–13-0.1024%18 Oct →
inferno7–13-0.087%16 Oct →
nuke13–7-0.079%16 Oct →
anubis10–13-0.0312%15 Oct →
anubis11–13-0.0210%15 Oct →
inferno16–12-0.0416%15 Oct →
ancient5–13-0.049%14 Oct →
anubis15–150.0113%14 Oct →
mirage12–16-0.0313%14 Oct →
dust26–130.0311%14 Oct →
mirage8–3-0.014%13 Oct →
mirage5–13-0.0127%13 Oct →
anubis13–60.0213%12 Oct →
anubis13–50.0719%12 Oct →
nuke8–13-0.0321%3 Oct →
inferno10–13-0.0813%2 Oct →
anubis13–11-0.0014%2 Oct →
mirage13–11-0.0415%30 Sept →
mirage9–13-0.039%30 Sept →
dust210–13-0.0513%30 Sept →
dust27–13-0.068%29 Sept →
mirage13–11-0.079%29 Sept →
cache10–13-0.059%29 Sept →
mirage13–6-0.0413%28 Sept →
cache13–16-0.0814%28 Sept →
inferno10–13-0.0116%27 Sept →
mirage13–110.0013%27 Sept →
mirage4–13-0.0422%22 Sept →
anubis5–13-0.036%20 Sept →
mirage13–7-0.0318%20 Sept →
mirage13–9-0.0318%15 Sept →
inferno15–150.0115%10 Sept →
mirage3–13-0.0714%10 Sept →
dust219–22-0.0220%10 Sept →
mirage13–110.037%9 Sept →
cache13–60.0412%9 Sept →
anubis13–10-0.0410%8 Sept →
anubis13–8-0.0112%8 Sept →
cache13–6-0.0112%8 Sept →
mirage1–13-0.1125%7 Sept →
nuke10–13-0.0615%7 Sept →
inferno13–80.0230%7 Sept →
anubis11–13-0.0610%7 Sept →
inferno13–9-0.0420%7 Sept →
inferno6–13-0.0016%2 Sept →
mirage3–13-0.0319%30 Aug →
mirage6–13-0.0013%30 Aug →
inferno9–13-0.0320%27 Aug →
mirage13–10.099%27 Aug →
inferno13–10-0.0519%19 Aug →
ancient6–13-0.055%16 Aug →
cache22–18-0.058%16 Aug →
dust27–13-0.0324%16 Aug →
anubis13–9-0.0713%14 Aug →
inferno13–7-0.034%13 Aug →
nuke10–13-0.0228%10 Aug →
mirage13–60.0113%10 Aug →
ancient15–15-0.0217%10 Aug →
anubis13–30.0310%10 Aug →
dust210–13-0.0616%9 Aug →
mirage13–10-0.0118%9 Aug →
dust213–70.0419%6 Aug →
ancient11–13-0.0613%6 Aug →
anubis13–4-0.0223%6 Aug →
inferno6–13-0.0619%6 Aug →
mirage6–13-0.0711%4 Aug →
mirage13–50.0618%4 Aug →
dust21–13-0.1411%4 Aug →
nuke13–10-0.0724%4 Aug →
ancient13–70.1116%3 Aug →
anubis13–11-0.0514%3 Aug →
cache3–13-0.0615%3 Aug →
anubis13–90.0221%3 Aug →
mirage11–13-0.0513%3 Aug →
anubis7–13-0.0215%3 Aug →
dust23–13-0.0510%3 Aug →
mirage6–13-0.0410%3 Aug →
mirage9–13-0.0420%2 Aug →
ancient9–13-0.0724%24 Jul →
mirage13–11-0.0012%24 Jul →
inferno13–10-0.0512%24 Jul →
mirage9–13-0.0421%24 Jul →
ancient13–10-0.0810%23 Jul →
cache11–13-0.0416%23 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 →

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