wawa

wawa — CS2 Stats

CX76561198139979527[U:1:179713799]Steam profile ↗✓ No bans

534Tracked matches50%Win rate2020Tracked since
2,338Hours in CS
CSDB Rating6.7 SolidPositional Player
Premier CS Rating22,877Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#45632 of 261529 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 534 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,877 -3,904 5 Jun – 12 Nov · 39 days played
21,68227,131peak 27,1315 Jun12 Nov
27,131Peak Premier in tracked matches
45Days played since 2026-06-05

Premier CS Rating

  • 4,254 below peak (27,131)
  • +169 over 90 days
  • Next: Red band at 25,000 — 2,123 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-22
  • Purple band first seen 2026-09-22

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 Pink band among CSDB-tracked players (n=38,294), 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 rate45.8%46.9%49.3%3.5% short
Shot accuracy17.7%13.0%13.4%above
Kill/death ratio1.251.081.12above
Match win rate50.0%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGwawaPREMIER22,877 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning72
Utility43

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLLWLLLLLTW

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +1.2pp headshot accuracy · +7ms reaction

Win rate down 50pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 612ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

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 (+2.6 against its own average).

Aim8.2
Utility4.3
Positioning7.2
Opening Duels4.3
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

donk

Plays most like donk 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

T-side openings. Opening success drops from 60% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim8.2
Positioning7.2
Utility4.3
Mechanics7.4
Opening Duels4.3
Win Impact5.0

Composite 6.7/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time588ms+19ms
first ⅓ avg 570ms → last ⅓ avg 588ms
Headshot accuracy18.6%−5.0%
first ⅓ avg 23.6% → last ⅓ avg 18.6%

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

0.11Best match rating · 13–7 · anubis, 25 Jul →
38%Best headshot accuracy · 4–13 · anubis, 27 Jun →
422msFastest reaction time · 10–13 · inferno, 11 Jul →
13–2Biggest win · inferno, 11 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 56% over 9infernoWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%0.00
infernoC238–1535%0.01
dust2B2211–1150%0.01
anubisA116–555%0.02
cacheA95–456%0.01
overpass—41–325%0.02
ancient—31–233%0.05
nuke—21–150%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,923Lifetime kills
1.25K/D · Top 25% of Pink band
5,355Matches
50.0%Match win rate · Top 25% of Pink band
45.8%Headshot %
17.7%Shot accuracy · Top 25% of Pink band
14,863MVPs
2,338Hours (in match)
6,027Bombs planted
1,663Bombs defused

Most-used weapons

AK-4746,393
AWP20,567
P2504,462
FAMAS2,331
Knife1,840

Lifetime map wins

17,738dust2
7,622inferno
4,318nuke
2,497cbble
1,564train
244vertigo
82office
28lake

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

Faceit stats

Combat

54Matches
67%Win rate
1.23Avg K/D
77.1ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage771%1.2015.4
Dust22100%1.5016.5
Ancient10%0.7915.0
Anubis10%0.7213.0
Inferno10%0.8113.0
Nuke10%0.7512.0

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.

18.0%Headshot accuracy
37.0%Accuracy (enemy spotted)
42.2%Spray accuracy
83.2%Counter-strafing
8.8°Preaim
567msReaction time
34.6%T opening success
59.7%CT opening success
0.57Enemies flashed / flash
5.4%Flash assists
1.55HE damage / grenade
11.12Flashes / 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 34.6471% — 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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.0516%28 Sept →
ancient7–130.0017%28 Sept →
dust216–140.0421%26 Sept →
anubis8–13-0.0510%22 Sept →
inferno10–130.0731%22 Sept →
mirage10–13-0.0220%15 Sept →
anubis4–13-0.0824%13 Sept →
dust214–160.0112%13 Sept →
inferno15–150.0117%11 Sept →
nuke13–60.1114%11 Sept →
mirage16–140.068%11 Sept →
cache13–100.0115%11 Sept →
dust26–130.0238%6 Sept →
cache13–70.1016%6 Sept →
mirage6–13-0.0523%4 Sept →
cache10–130.0414%2 Sept →
dust213–40.0818%2 Sept →
mirage13–10-0.0710%21 Aug →
dust213–100.0315%21 Aug →
anubis13–50.0412%15 Aug →
mirage13–80.0618%15 Aug →
dust215–15-0.0111%15 Aug →
inferno7–13-0.0320%15 Aug →
cache3–13-0.0235%14 Aug →
mirage13–7-0.0422%14 Aug →
dust213–70.0610%14 Aug →
anubis13–50.0623%14 Aug →
inferno13–80.0329%14 Aug →
mirage7–13-0.0418%11 Aug →
dust27–13-0.0518%10 Aug →
mirage13–70.0318%10 Aug →
cache5–13-0.0223%10 Aug →
nuke10–13-0.0218%10 Aug →
ancient13–60.0912%9 Aug →
dust215–15-0.0419%9 Aug →
anubis13–80.0515%8 Aug →
anubis10–13-0.0130%8 Aug →
inferno10–130.009%8 Aug →
mirage10–130.0114%8 Aug →
cache13–100.0214%8 Aug →
inferno4–13-0.0415%7 Aug →
mirage16–120.0321%5 Aug →
anubis9–130.0116%2 Aug →
dust29–130.0428%2 Aug →
cache15–15-0.0318%1 Aug →
dust213–3-0.0431%1 Aug →
inferno6–130.0312%1 Aug →
inferno13–40.0819%31 Jul →
inferno4–130.0123%31 Jul →
dust20–13-0.0114%31 Jul →
inferno4–13-0.0528%31 Jul →
inferno13–60.0721%29 Jul →
mirage15–150.0825%29 Jul →
dust213–80.0326%29 Jul →
anubis13–90.0117%29 Jul →
mirage6–13-0.0521%29 Jul →
mirage10–130.0225%26 Jul →
anubis13–70.1124%25 Jul →
anubis13–30.0736%25 Jul →
inferno13–40.0226%25 Jul →
dust27–13-0.0111%23 Jul →
inferno13–110.0214%18 Jul →
cache13–70.0128%18 Jul →
dust211–130.0130%18 Jul →
inferno6–13-0.0029%17 Jul →
mirage10–13-0.0116%14 Jul →
inferno13–40.0513%14 Jul →
dust213–80.1119%13 Jul →
cache13–100.0229%12 Jul →
mirage13–11-0.0511%11 Jul →
mirage13–30.0711%11 Jul →
inferno10–130.0313%11 Jul →
inferno13–2-0.0126%11 Jul →
mirage13–9-0.0032%9 Jul →
ancient5–130.0533%9 Jul →
overpass6–130.0730%4 Jul →
dust213–9-0.0123%29 Jun →
mirage2–130.0124%29 Jun →
inferno14–160.0034%28 Jun →
mirage15–150.0516%28 Jun →
mirage8–13-0.0315%27 Jun →
anubis4–130.0738%27 Jun →
dust213–70.0321%27 Jun →
dust23–13-0.0911%23 Jun →
mirage10–130.0218%23 Jun →
mirage13–8-0.0326%23 Jun →
dust213–10-0.0217%23 Jun →
inferno6–13-0.0632%20 Jun →
inferno11–13-0.0027%19 Jun →
inferno9–130.0120%16 Jun →
mirage13–70.0313%16 Jun →
mirage5–130.0235%14 Jun →
inferno10–130.0118%13 Jun →
dust213–90.0719%11 Jun →
overpass13–90.0822%11 Jun →
mirage8–130.0019%11 Jun →
inferno13–40.0838%7 Jun →
dust210–130.0938%7 Jun →
overpass5–13-0.0220%7 Jun →
overpass4–13-0.0632%5 Jun →

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.