☠ DAvblo ✪Back2Back✪

☠ DAvblo ✪Back2Back✪ — CS2 Stats

CX76561197965779089[U:1:5513361]Steam profile ↗✓ No bans

824Tracked matches66%Win rate2020Tracked since
2,418Hours in CS
CSDB Rating7.5 StrongPositional Player
CSDB Leaderboard#54908 of 261643 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,173 +2,065 13 Mar – 4 Oct · 42 days played
19,92324,039peak 24,03913 Mar4 Oct
24,039Peak Premier in tracked matches
60Days played since 2026-03-13

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.3%48.2%50.9%2.6% short
Shot accuracy13.2%13.2%13.7%0.5% short
Kill/death ratio1.101.071.09meets
Match win rate48.9%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG☠ DAvblo ✪Back2Back✪FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateLWLLWLWWWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.5pp headshot accuracy · −52ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 533ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 508ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 534ms

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 (+1.2 against its own average).

Aim8.4
Utility6.0
Positioning6.6
Opening Duels6.3
Clutch2.6

Strong CT-side opener

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 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4
Positioning6.6
Utility6.0
Mechanics7.8
Opening Duels5.6
Win Impact10.0

Composite 7.5/10 (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-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time529ms−71ms
first ⅓ avg 600ms → last ⅓ avg 529ms
Headshot accuracy23.1%+1.2%
first ⅓ avg 21.9% → last ⅓ avg 23.1%

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 · 13–4 · train, 8 Oct →
59%Best headshot accuracy · 9–7 · inferno, 28 Aug →
383msFastest reaction time · 4–13 · inferno, 4 Oct →
13–0Biggest win · mirage, 27 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 73% over 15infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2518–772%0.02
dust2B189–950%0.00
cacheA1811–761%0.00
anubisS1511–473%0.01
ancientA95–456%0.02
infernoD72–529%-0.01
nuke—31–233%-0.09
overpass—30–30%0.01
train—11–0100%0.15
office—11–0100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,287Lifetime kills
1.10K/D · Top 50% of Level 9 players
5,805Matches
48.9%Match win rate · Top 50% of Level 9 players
48.3%Headshot % · Top 50% of Level 9 players
13.2%Shot accuracy
18,392MVPs
2,418Hours (in match)
6,197Bombs planted
2,181Bombs defused

Most-used weapons

AK-4740,549
AWP16,494
P2504,147
FAMAS3,217
Tec-91,924

Lifetime map wins

11,736dust2
5,018inferno
2,221train
1,715nuke
1,247cbble
810vertigo
420office
130lake

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

Faceit stats

Combat

522Matches
54%Win rate
1.07Avg K/D
79.2ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
11%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3757%0.9415.6
Anubis3148%0.9415.9
Dust21070%1.0416.8
Vertigo667%1.1219.8
Nuke333%0.7612.3
Ancient250%0.808.5
Overpass2100%1.1816.5

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.

21.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
37.5%Spray accuracy
85.0%Counter-strafing
8.6°Preaim
547msReaction time
36.3%T opening success
68.8%CT opening success
0.62Enemies flashed / flash
5.6%Flash assists
5.35HE damage / grenade
13.66Flashes / 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. 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 36.3299% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0123%14 Nov →
train13–40.1525%8 Oct →
inferno4–13-0.0511%4 Oct →
ancient5–13-0.0126%23 Sept →
anubis13–50.0029%22 Sept →
dust20–2-0.080%22 Sept →
nuke9–5-0.0633%20 Sept →
anubis13–80.0335%8 Sept →
mirage13–9-0.0821%6 Sept →
cache3–13-0.0533%5 Sept →
mirage13–60.0030%5 Sept →
mirage13–80.0523%3 Sept →
cache13–80.0421%31 Aug →
inferno2–9-0.0631%30 Aug →
ancient13–7-0.0112%30 Aug →
mirage10–13-0.017%29 Aug →
dust213–20.0621%29 Aug →
cache13–50.0115%29 Aug →
nuke1–9-0.0933%28 Aug →
inferno9–70.1059%28 Aug →
anubis6–11-0.0225%28 Aug →
cache13–10-0.0126%27 Aug →
cache13–100.0112%27 Aug →
anubis10–130.0315%27 Aug →
mirage13–00.0132%27 Aug →
anubis4–13-0.0716%26 Aug →
mirage13–110.0120%26 Aug →
cache13–70.0116%24 Aug →
cache15–150.0219%24 Aug →
anubis9–13-0.0128%10 Aug →
dust210–1-0.0225%10 Aug →
dust213–70.0518%2 Aug →
mirage13–70.0422%2 Aug →
inferno13–110.0331%2 Aug →
ancient11–13-0.0217%23 Jul →
dust20–13-0.040%23 Jul →
nuke2–13-0.1015%22 Jul →
ancient13–40.0222%21 Jul →
dust28–13-0.0323%19 Jul →
dust213–60.0126%18 Jul →
ancient10–13-0.0321%14 Jul →
anubis13–100.0719%14 Jul →
cache8–13-0.0319%14 Jul →
cache5–13-0.0621%12 Jul →
cache13–11-0.0016%11 Jul →
office13–40.1225%9 Jul →
cache13–90.0329%7 Jul →
cache0–7-0.0414%7 Jul →
anubis13–100.0420%5 Jul →
anubis16–13-0.0116%5 Jul →
mirage13–10-0.0413%5 Jul →
mirage13–7-0.0328%4 Jul →
inferno4–9-0.1315%14 Jun →
mirage10–13-0.0518%9 Jun →
dust213–2-0.0219%9 Jun →
ancient13–50.0016%7 Jun →
dust213–50.007%7 Jun →
ancient13–60.1027%2 Jun →
mirage13–20.1035%1 Jun →
dust213–70.0326%25 May →
mirage5–13-0.0618%25 May →
inferno8–80.0529%24 May →
mirage13–10-0.0221%24 May →
inferno5–13-0.0127%22 May →
anubis13–20.0519%17 May →
ancient13–110.0528%17 May →
cache10–130.0134%16 May →
overpass15–150.0516%15 May →
cache13–110.0124%15 May →
mirage6–130.0714%14 May →
anubis13–110.0525%14 May →
mirage13–11-0.059%14 May →
mirage13–30.0916%12 May →
cache3–60.0127%12 May →
cache13–110.0216%10 May →
anubis13–9-0.0219%10 May →
cache13–90.0126%7 May →
ancient11–130.0525%1 May →
cache13–100.0420%1 May →
dust214–160.0218%6 Apr →
mirage13–40.0526%6 Apr →
dust213–11-0.0113%5 Apr →
dust210–13-0.0220%4 Apr →
mirage13–50.0418%4 Apr →
anubis16–12-0.0022%4 Apr →
mirage13–80.0234%4 Apr →
dust210–13-0.0221%2 Apr →
mirage13–10-0.0122%1 Apr →
dust211–130.0830%28 Mar →
mirage13–60.1117%26 Mar →
mirage13–40.0731%25 Mar →
dust213–100.0010%23 Mar →
anubis13–9-0.0115%21 Mar →
overpass13–16-0.0619%15 Mar →
mirage15–15-0.0227%15 Mar →
anubis7–80.0516%15 Mar →
overpass8–130.0549%14 Mar →
mirage8–130.0835%13 Mar →
mirage8–130.0125%13 Mar →
dust210–130.0617%13 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 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.