Wighamm

Wighamm — CS2 Stats

US76561198233479884[U:1:273214156]Steam profile ↗✓ No bans

748Tracked matches41%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating14,436Blue band · top ~31.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,436 → 14,436
+17Tracked matches · now 748
−2.1ppWin rate · 42.9% → 40.7%

Rating over time

Premier CS Rating: 14,436 -222 27 Aug – 31 Aug · 3 days played
14,43614,658peak 14,65827 Aug31 Aug
14,658Peak Premier in tracked matches
29Days played since 2026-02-15

Premier CS Rating

  • 222 below peak (14,658)
  • Next: Purple band at 15,000 — 564 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGWighammFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,436 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateWWWWLTLWLW

Last 10 vs previous 10: +50pp win rate · −0.03 avg rating · −4.5pp headshot accuracy · +13ms reaction

Win rate up 50pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 618ms

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 (+2.4 against its own average).

Aim7.3
Utility5.5
Positioning6.0
Opening Duels3.0
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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 609ms 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

Aim7.3
Positioning6.0
Utility5.5
Mechanics7.3
Opening Duels3.3
Win Impact1.9

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time612ms−114ms
first ⅓ avg 726ms → last ⅓ avg 612ms
Headshot accuracy17.1%−2.1%
first ⅓ avg 19.2% → 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

0.31Best match rating · 3–0 · debris, 12 Jul →
60%Best headshot accuracy · 3–0 · debris, 12 Jul →
484msFastest reaction time · 13–11 · inferno, 9 Oct →
13–2Biggest win · train, 25 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
8–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
anubisD175–1229%-0.01
cacheD155–1033%0.02
nukeB137–654%0.02
dust2D133–1023%-0.01
ancientS118–373%-0.00
infernoD93–633%0.00
trainB63–350%0.06
overpassD62–433%0.05
mirage—41–325%-0.02
office—21–150%0.05
vertigo—21–150%-0.05
debris—22–0100%0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
44%Win rate
0.81Avg K/D
83.1ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient250%1.5821.0
Nuke1100%0.8713.0
Mirage1100%1.0019.0

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.

17.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.2%Spray accuracy
82.8%Counter-strafing
9.6°Preaim
609msReaction time
44.4%T opening success
42.1%CT opening success
0.58Enemies flashed / flash
6.0%Flash assists
10.96HE damage / grenade
8.42Flashes / match

Recommended for you

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.

23% win rate across 13 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
inferno13–11-0.0417%9 Oct →
train13–8-0.0622%9 Oct →
overpass13–5-0.0132%9 Oct →
anubis13–90.0220%9 Oct →
nuke11–130.0314%27 Sept →
inferno12–120.0114%27 Sept →
anubis3–130.002%27 Sept →
ancient13–110.0414%27 Sept →
dust22–13-0.0332%27 Sept →
anubis13–70.0117%19 Sept →
inferno12–12-0.0119%19 Sept →
anubis3–130.0110%16 Sept →
cache10–130.0427%16 Sept →
inferno11–130.0135%16 Sept →
mirage1–13-0.0521%16 Sept →
office10–130.0625%2 Sept →
office13–90.0421%2 Sept →
overpass10–130.0716%29 Aug →
cache9–13-0.0319%29 Aug →
train8–130.1234%29 Aug →
anubis8–130.0313%29 Aug →
ancient11–13-0.0513%29 Aug →
ancient13–9-0.0012%27 Aug →
overpass12–120.1214%20 Aug →
dust28–13-0.028%20 Aug →
anubis3–13-0.0110%20 Aug →
ancient13–100.0417%20 Aug →
cache4–13-0.058%8 Aug →
ancient13–6-0.0011%8 Aug →
dust213–40.0215%8 Aug →
anubis13–90.049%8 Aug →
vertigo3–13-0.100%8 Aug →
nuke11–130.0220%8 Aug →
cache13–30.0613%8 Aug →
dust29–130.0623%8 Aug →
nuke8–80.1219%7 Aug →
mirage13–3-0.019%1 Aug →
dust24–13-0.0511%1 Aug →
dust213–10-0.0027%1 Aug →
nuke3–13-0.0715%1 Aug →
ancient16–140.0815%1 Aug →
cache11–130.0121%1 Aug →
train5–13-0.0327%31 Jul →
anubis4–130.0511%26 Jul →
train13–100.1935%26 Jul →
nuke12–30.1528%26 Jul →
nuke13–11-0.0120%25 Jul →
anubis15–15-0.0512%25 Jul →
nuke13–50.0917%25 Jul →
cache13–50.0721%25 Jul →
mirage9–13-0.0438%25 Jul →
cache2–13-0.067%18 Jul →
inferno8–13-0.0720%18 Jul →
anubis9–13-0.0211%18 Jul →
dust28–130.0019%18 Jul →
ancient13–10-0.074%18 Jul →
nuke13–11-0.0310%18 Jul →
debris3–00.3160%12 Jul →
cache13–40.0313%11 Jul →
debris9–7-0.0413%11 Jul →
train11–130.0724%26 Jun →
inferno9–130.0240%26 Jun →
ancient13–80.0314%26 Jun →
cache12–120.0916%26 Jun →
overpass2–13-0.0213%26 Jun →
dust24–13-0.0417%26 Jun →
cache13–30.0519%25 Jun →
anubis3–13-0.0717%25 Jun →
anubis15–15-0.0118%7 Jun →
nuke13–10-0.0223%7 Jun →
nuke13–110.0214%5 Jun →
anubis13–80.0015%5 Jun →
nuke13–80.0714%5 Jun →
ancient7–13-0.064%2 Jun →
anubis2–13-0.0226%2 Jun →
ancient13–50.0237%2 Jun →
dust26–13-0.0110%9 May →
cache4–13-0.0313%9 May →
inferno10–130.0219%9 May →
dust24–13-0.0516%9 May →
cache12–120.0917%9 May →
vertigo13–90.004%3 May →
dust213–100.0619%3 May →
cache13–110.0029%3 May →
cache12–12-0.0218%3 May →
cache9–13-0.0327%3 May →
overpass11–130.1221%23 Apr →
dust22–13-0.0035%23 Apr →
dust29–13-0.0315%23 Apr →
inferno13–40.0012%7 Apr →
nuke9–13-0.0124%7 Apr →
anubis8–13-0.0423%7 Apr →
anubis8–13-0.0614%7 Apr →
nuke2–13-0.0628%29 Mar →
train13–20.0821%25 Feb →
inferno10–10.0623%25 Feb →
ancient9–13-0.0320%15 Feb →
mirage11–130.0125%15 Feb →
anubis13–90.0118%15 Feb →
overpass13–30.0217%15 Feb →

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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