Obi Wagwan

Obi Wagwan — CS2 Stats

NE76561198021780942[U:1:61515214]Steam profile ↗✓ No bans

943Tracked matches43%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating18,095Purple band · top ~16.1% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 18,095 -2,022 30 Nov – 11 Nov · 22 days played
16,34920,291peak 20,29130 Nov11 Nov
20,291Peak Premier in tracked matches
58Days played since 2025-11-30

Premier CS Rating

  • 2,196 below peak (20,291)
  • -848 over 30 days · declining
  • Next: Pink band at 20,000 — 1,905 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.GGObi WagwanFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER18,095 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLLWWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −0.3pp headshot accuracy · +27ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 538ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 517ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 504ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim4.6
Utility5.5
Positioning5.2
Opening Duels1.6
Clutch0.0

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

Twistzz

Plays most like Twistzz 70% 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 54% 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

Aim4.6
Positioning5.2
Utility5.5
Mechanics0.8
Opening Duels2.3
Win Impact2.8

Composite 3.9/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time514ms−61ms
first ⅓ avg 575ms → last ⅓ avg 514ms
Headshot accuracy12.8%−8.6%
first ⅓ avg 21.4% → last ⅓ avg 12.8%

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

0.18Best match rating · 5–0 · anubis, 11 Dec →
50%Best headshot accuracy · 5–0 · anubis, 11 Dec →
406msFastest reaction time · 4–13 · anubis, 14 Sept →
13–0Biggest win · mirage, 7 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5Overtime games

Map breakdown

nukeBest map · 58% over 33mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA3319–1458%0.01
dust2B157–847%0.00
infernoA148–657%0.00
cacheC145–936%0.02
anubisB84–450%-0.01
mirageD61–517%-0.00
overpassB63–350%-0.02
ancient—40–40%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

678Matches
51%Win rate
0.98Avg K/D
82.5ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis560%1.1213.4
Nuke367%1.3717.7
Inferno333%0.7912.0
Dust2367%1.3818.7
Vertigo250%0.7411.5
Train20%1.0816.5
Ancient1100%1.6922.0
Mirage10%0.6210.0

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.

13.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.2%Spray accuracy
53.6%Counter-strafing
10.5°Preaim
511msReaction time
40.3%T opening success
38.1%CT opening success
0.58Enemies flashed / flash
7.9%Flash assists
9.71HE damage / grenade
5.54Flashes / 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 13.0872% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.1189% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0011%11 Nov →
dust210–13-0.0112%29 Oct →
nuke13–7-0.0211%12 Oct →
nuke13–80.019%11 Oct →
inferno13–50.0411%10 Oct →
inferno2–13-0.0922%8 Oct →
mirage13–00.0811%7 Oct →
dust213–90.017%5 Oct →
nuke5–13-0.0312%5 Oct →
cache13–20.0413%5 Oct →
nuke13–9-0.009%1 Oct →
dust20–13-0.0713%1 Oct →
cache9–130.0120%16 Sept →
dust24–13-0.0520%16 Sept →
anubis4–13-0.087%14 Sept →
inferno13–70.0416%14 Sept →
nuke13–6-0.022%14 Sept →
mirage4–13-0.0218%14 Sept →
ancient2–13-0.0414%13 Sept →
anubis3–13-0.042%12 Sept →
nuke2–13-0.0914%11 Sept →
dust21–13-0.0811%11 Sept →
anubis13–9-0.018%9 Sept →
inferno13–70.0719%8 Sept →
dust22–130.0017%7 Sept →
dust213–90.1017%7 Sept →
inferno9–130.0616%7 Sept →
mirage12–160.0011%7 Sept →
cache4–130.1015%7 Sept →
nuke13–6-0.0029%5 Sept →
nuke13–60.0210%4 Sept →
dust216–14-0.0013%2 Sept →
anubis4–9-0.095%24 Aug →
mirage14–16-0.0310%12 Aug →
cache5–13-0.0712%12 Aug →
mirage6–13-0.016%12 Aug →
dust213–100.068%9 Aug →
cache13–80.0911%30 Jul →
inferno13–10-0.0216%27 Jul →
nuke9–13-0.0612%22 Jul →
nuke13–10.1019%22 Jul →
cache2–13-0.0116%21 Jul →
cache13–10-0.0120%30 Jun →
cache13–20.076%7 Jun →
cache3–13-0.096%5 Jun →
cache13–50.016%5 Jun →
nuke2–130.0416%5 Jun →
cache12–120.1110%5 Jun →
cache9–13-0.0522%6 May →
cache9–130.0018%5 May →
cache2–130.0325%5 May →
nuke13–60.0618%20 Apr →
ancient5–13-0.0612%20 Apr →
inferno9–13-0.0526%1 Apr →
inferno9–13-0.0118%4 Feb →
inferno13–50.1012%2 Feb →
nuke10–130.0019%1 Feb →
inferno7–13-0.0510%1 Feb →
anubis13–10-0.0113%1 Feb →
dust23–13-0.0518%30 Jan →
inferno4–13-0.0823%30 Jan →
nuke13–80.0324%30 Jan →
nuke12–160.0723%28 Jan →
inferno13–7-0.028%28 Jan →
anubis13–80.0212%24 Jan →
nuke13–10-0.036%23 Jan →
dust213–8-0.0318%19 Jan →
nuke13–110.0019%14 Jan →
overpass13–40.0220%14 Jan →
nuke8–13-0.0219%12 Jan →
overpass6–13-0.0617%12 Jan →
nuke13–50.0827%8 Jan →
nuke7–13-0.0729%8 Jan →
dust213–40.1123%3 Jan →
nuke13–8-0.0417%3 Jan →
inferno13–60.0119%3 Jan →
overpass13–40.0628%2 Jan →
nuke13–50.0228%2 Jan →
dust28–130.0019%2 Jan →
nuke6–13-0.0620%23 Dec →
dust213–70.0928%23 Dec →
nuke5–130.006%21 Dec →
nuke12–12-0.0211%16 Dec →
overpass4–13-0.0931%16 Dec →
nuke13–50.1218%11 Dec →
nuke13–100.0220%11 Dec →
anubis6–13-0.0523%11 Dec →
anubis5–00.1850%11 Dec →
overpass8–13-0.0723%10 Dec →
nuke13–90.0824%10 Dec →
inferno13–30.0534%8 Dec →
ancient10–13-0.0413%8 Dec →
dust24–13-0.0316%5 Dec →
ancient7–13-0.0616%3 Dec →
nuke8–13-0.0411%2 Dec →
nuke13–70.0824%2 Dec →
mirage6–13-0.0417%2 Dec →
nuke16–140.0530%1 Dec →
nuke9–130.016%1 Dec →
overpass13–60.0222%30 Nov →

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 →

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