Davo

Davo — CS2 Stats

SI76561198016209663[U:1:55943935]Steam profile ↗✓ No bans

2,501Tracked matches62%Win rate2023Tracked since
2,542Hours in CS28Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating21,544Top 50% of 215,558 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63553 of 261667 tracked
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 days ago). 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: 21,544 +2,930 30 Aug – 11 Nov · 38 days played
17,19423,399peak 23,39930 Aug11 Nov
Faceit ELO: 1,334 +0 30 Aug – 29 Oct · 8 observations
1,3341,334peak 1,33430 Aug29 Oct
23,738Peak Premier in tracked matches
1,334Highest Faceit ELO seen on CSDB
31Days played since 2026-08-30

Faceit ELO

  • At peak — 1,334
  • Next: Level 7 at 1,351 — 17 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier CS Rating

  • 1,855 below peak (23,399)
  • +315 over 30 days · steady
  • Next: Red band at 25,000 — 3,456 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-29
  • Purple band first seen 2026-08-30

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 Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.2%46.9%49.3%10.1% short
Shot accuracy5.7%13.0%13.3%7.6% short
Kill/death ratio1.001.081.120.12 short
Match win rate44.2%46.7%48.5%4.3% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDavoPREMIER21,544 · Pink bandPEAK ELO1,334csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning71
Utility64

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateLWLWWWLWWW

Last 10 vs previous 10: +40pp win rate · −0.03 avg rating · −3.0pp headshot accuracy · −48ms reaction

Win rate up 40pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 499ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 509ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

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 (+1.3 against its own average).

Aim7.7
Utility6.4
Positioning7.1
Opening Duels6.6
Clutch3.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 68% T opening-duel success — entries that actually open the round.

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

Aim7.7
Positioning7.1
Utility6.4
Mechanics5.8
Opening Duels8.8
Win Impact9.0

Composite 7.5/10 (Strong), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time531ms−13ms
first ⅓ avg 543ms → last ⅓ avg 531ms
Headshot accuracy17.1%+3.3%
first ⅓ avg 13.9% → last ⅓ avg 17.1%

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

0.16Best match rating · 13–5 · ancient, 24 Oct →
30%Best headshot accuracy · 5–13 · inferno, 8 Nov →
391msFastest reaction time · 4–13 · inferno, 27 Oct →
13–1Biggest win · mirage, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 77% over 13infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%0.00
ancientA1811–761%0.03
dust2C177–1041%0.01
mirageS1712–571%0.02
anubisS1310–377%0.02
cacheD93–633%-0.02
nukeC73–443%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,188Lifetime kills
1.00K/D
4,159Matches
44.2%Match win rate
39.2%Headshot %
5.7%Shot accuracy
6,901MVPs
1,350Hours (in match)
2,595Bombs planted
792Bombs defused

Most-used weapons

AK-4715,660
AWP5,651
MP92,309
MAC-102,084
SSG 081,816

Lifetime map wins

5,982inferno
4,831dust2
3,206nuke
1,213vertigo
760train
153safehouse
93ar_shoots
72lake

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

Faceit stats

Combat

69Matches
59%Win rate
1.21Avg K/D
85.7ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2548%1.0414.8
Dust21861%1.1516.3
Ancient989%1.1815.8
Nuke714%1.0015.0
Inferno786%2.3320.9
Overpass2100%0.9215.0
Train1100%1.2030.0

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.

16.6%Headshot accuracy
36.0%Accuracy (enemy spotted)
35.9%Spray accuracy
76.1%Counter-strafing
7.8°Preaim
529msReaction time
67.7%T opening success
62.7%CT opening success
0.66Enemies flashed / flash
6.2%Flash assists
9.95HE damage / grenade
6.24Flashes / match

Recommended for you

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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0916%11 Nov →
dust213–30.0013%11 Nov →
mirage9–13-0.0116%11 Nov →
dust213–80.0227%10 Nov →
ancient16–130.0211%10 Nov →
ancient13–30.0516%10 Nov →
cache14–16-0.0321%10 Nov →
ancient13–5-0.029%9 Nov →
mirage13–10-0.0518%9 Nov →
anubis13–100.0318%9 Nov →
mirage13–90.0114%9 Nov →
inferno7–130.0316%8 Nov →
ancient13–70.0615%8 Nov →
dust28–130.0222%8 Nov →
inferno5–130.0730%8 Nov →
ancient13–80.0518%7 Nov →
inferno8–130.0519%7 Nov →
dust214–16-0.0116%7 Nov →
dust24–13-0.0823%7 Nov →
nuke8–130.0622%7 Nov →
ancient6–130.0030%6 Nov →
nuke13–100.018%6 Nov →
dust213–60.0620%6 Nov →
ancient13–11-0.0013%6 Nov →
anubis16–14-0.0118%6 Nov →
inferno13–80.0414%6 Nov →
nuke15–15-0.009%6 Nov →
mirage13–10.088%6 Nov →
inferno13–110.0414%6 Nov →
anubis13–100.0711%6 Nov →
dust24–13-0.0629%6 Nov →
inferno13–9-0.0118%5 Nov →
anubis13–9-0.0015%5 Nov →
mirage13–110.0120%5 Nov →
mirage9–13-0.057%4 Nov →
nuke5–130.0024%3 Nov →
cache3–130.0715%3 Nov →
inferno13–60.0410%1 Nov →
ancient13–70.1213%1 Nov →
ancient11–130.0813%31 Oct →
ancient8–13-0.0118%30 Oct →
nuke13–50.0811%30 Oct →
anubis13–40.0611%30 Oct →
mirage13–50.0314%30 Oct →
inferno11–130.0319%30 Oct →
nuke8–13-0.058%30 Oct →
anubis13–6-0.016%29 Oct →
mirage13–20.0414%29 Oct →
inferno4–13-0.019%27 Oct →
dust213–16-0.0116%26 Oct →
dust213–90.0310%24 Oct →
ancient13–50.1619%24 Oct →
mirage13–80.0314%24 Oct →
anubis9–130.0119%24 Oct →
ancient8–130.019%23 Oct →
anubis10–130.029%23 Oct →
dust213–90.0221%23 Oct →
anubis13–160.029%21 Oct →
inferno13–80.0222%21 Oct →
inferno7–13-0.0615%20 Oct →
dust28–130.0717%20 Oct →
cache5–13-0.057%19 Oct →
anubis13–70.0211%19 Oct →
dust213–100.0414%19 Oct →
cache13–40.012%14 Oct →
cache3–13-0.0614%13 Oct →
inferno13–100.0016%12 Oct →
nuke13–11-0.0519%12 Oct →
dust211–130.0317%12 Oct →
inferno9–130.0011%12 Oct →
ancient10–13-0.038%6 Oct →
mirage12–160.0320%6 Oct →
ancient13–90.0113%6 Oct →
inferno8–13-0.0513%5 Oct →
mirage13–70.1118%5 Oct →
inferno5–13-0.059%5 Oct →
dust215–150.0312%5 Oct →
mirage13–6-0.0012%5 Oct →
dust213–60.007%4 Oct →
mirage13–11-0.0415%4 Oct →
dust28–13-0.0119%4 Oct →
ancient5–13-0.0623%4 Oct →
anubis13–90.019%4 Oct →
mirage13–80.0518%4 Oct →
cache13–30.0216%4 Oct →
ancient13–10-0.0315%4 Oct →
inferno8–130.0618%2 Oct →
ancient16–130.0512%2 Oct →
inferno11–13-0.0313%2 Oct →
ancient10–130.029%1 Oct →
mirage13–80.0217%30 Sept →
cache8–13-0.027%30 Sept →
mirage8–13-0.0022%30 Sept →
inferno5–13-0.066%30 Sept →
mirage6–130.0414%30 Sept →
dust26–13-0.0016%30 Sept →
cache13–6-0.0220%30 Sept →
anubis13–90.0010%29 Sept →
inferno11–13-0.057%29 Sept →
anubis13–80.0113%28 Sept →

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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