Wigo

Wigo — CS2 Stats

NL76561198017853657[U:1:57587929]Steam profile ↗✓ No bans

521Tracked matches45%Win rate2020Tracked since
2,188Hours in CS2Hrs last 2 wks
CSDB Rating5.0 DevelopingClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 521
0.0ppWin rate · 44.8% → 44.8%

Rating over time

Premier CS Rating: 25,376 +11,785 6 Dec – 25 Aug · 3 days played
13,59125,603peak 25,6036 Dec25 Aug
25,726Peak Premier in tracked matches
47Days played since 2024-10-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate50%——
K/D1.17——
Headshot %52%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim67
Positioning38
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLWWLTWWLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −5.0pp headshot accuracy · −18ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 597ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim6.7
Utility4.7
Positioning3.8
Opening Duels1.1
Clutch6.0

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

b1t

Plays most like b1t 89% 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

Reaction time. 601ms 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

Aim6.7
Positioning3.8
Utility4.7
Mechanics7.6
Opening Duels0.9
Win Impact3.3

Composite 5.0/10 (Developing), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time625ms+13ms
first ⅓ avg 613ms → last ⅓ avg 625ms
Headshot accuracy23.6%−5.3%
first ⅓ avg 28.8% → last ⅓ avg 23.6%

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

0.12Best match rating · 13–5 · train, 16 Nov →
67%Best headshot accuracy · 1–13 · mirage, 29 Jul →
406msFastest reaction time · 13–5 · anubis, 22 Nov →
13–1Biggest win · nuke, 28 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 64% over 11trainWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB3517–1849%-0.01
infernoA148–657%0.01
trainD113–827%0.00
dust2A117–464%-0.01
nukeB105–550%0.00
cacheB63–350%-0.01
overpassA53–260%0.02
ancient—40–40%-0.02
anubis—33–0100%0.00
vertigo—11–0100%0.07

Across the last 100 tracked matches.

Lifetime stats

57,972Lifetime kills
1.15K/D · Top 25% of tracked players
2,917Matches
46.2%Match win rate · Top 50% of tracked players
51.7%Headshot % · Top 25% of tracked players
15.6%Shot accuracy · Top 25% of tracked players
6,994MVPs
1,384Hours (in match)
3,408Bombs planted
859Bombs defused

Most-used weapons

Lifetime map wins

4,297inferno
3,729dust2
1,754nuke
732vertigo
552cbble
452train
179lake
100bank

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

Faceit stats

Combat

130Matches
62%Win rate
1.26Avg K/D
60.0ADR
49%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage683%1.9615.7
Inferno450%0.8210.5
Vertigo30%0.8815.3
Ancient250%1.2617.5
Funky WIP10%1.1622.0
Breach 3.010%1.0017.0
Overpass10%0.7213.0
Anubis1100%0.759.0

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.

21.8%Headshot accuracy
28.7%Accuracy (enemy spotted)
30.0%Spray accuracy
84.0%Counter-strafing
8.2°Preaim
601msReaction time
36.1%T opening success
31.0%CT opening success
0.61Enemies flashed / flash
6.9%Flash assists
11.65HE damage / grenade
7.91Flashes / 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 36.0604% — below the 40% mark we flag

Spend your practice time on Train

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0316%26 Sept →
cache13–50.0914%26 Sept →
overpass13–10-0.0023%7 Jun →
mirage1–13-0.0820%22 May →
cache12–12-0.0316%22 May →
mirage13–90.0420%17 May →
cache13–110.0228%17 May →
cache10–13-0.0512%13 May →
cache9–13-0.0427%1 May →
cache13–7-0.0413%1 May →
mirage0–13-0.0720%26 Apr →
mirage13–8-0.0221%26 Apr →
mirage2–5-0.0327%26 Apr →
inferno13–8-0.0227%26 Apr →
mirage10–130.0324%26 Apr →
inferno13–9-0.0216%25 Apr →
inferno11–13-0.059%25 Apr →
inferno13–70.0433%23 Apr →
mirage14–16-0.0415%21 Apr →
mirage13–4-0.0245%21 Apr →
nuke3–13-0.0426%12 Apr →
nuke13–100.0543%10 Apr →
mirage6–13-0.0625%10 Apr →
mirage13–80.0028%3 Apr →
mirage8–130.0115%3 Apr →
mirage2–13-0.0233%1 Apr →
mirage7–13-0.0814%31 Mar →
train4–13-0.0024%6 Dec →
nuke7–13-0.1016%5 Dec →
mirage13–9-0.0015%29 Aug →
mirage13–8-0.0131%29 Aug →
train11–13-0.0046%29 Aug →
mirage1–13-0.0135%25 Aug →
dust20–13-0.0513%25 Aug →
mirage2–13-0.0336%24 Aug →
mirage16–14-0.0127%24 Aug →
nuke6–13-0.0126%24 Aug →
dust213–50.0329%22 Aug →
train12–12-0.0337%22 Aug →
inferno10–13-0.0621%22 Aug →
nuke8–13-0.0630%9 Aug →
mirage13–90.0318%9 Aug →
inferno13–70.0139%9 Aug →
inferno3–13-0.0631%3 Aug →
mirage13–80.0510%30 Jul →
inferno12–120.0632%30 Jul →
inferno13–110.0219%29 Jul →
overpass13–40.0627%29 Jul →
mirage1–13-0.0367%29 Jul →
inferno16–120.0419%29 Jul →
mirage13–90.0111%29 Jul →
overpass13–50.0620%29 Jul →
inferno8–10.0127%29 Jul →
dust211–13-0.0014%16 Jun →
overpass11–13-0.0621%29 May →
train13–40.0017%29 May →
mirage13–20.0327%29 May →
mirage13–90.0117%10 May →
nuke13–90.0310%10 May →
anubis13–50.0225%28 Apr →
nuke13–10.0713%28 Apr →
nuke13–20.1231%27 Apr →
mirage11–130.0226%27 Apr →
inferno12–120.0337%27 Apr →
mirage7–13-0.0819%19 Jan →
mirage7–130.0127%4 Jan →
nuke9–13-0.0622%4 Jan →
overpass7–130.0226%2 Jan →
mirage13–40.0234%8 Dec →
dust212–12-0.0224%8 Dec →
mirage13–60.0032%6 Dec →
train10–13-0.0123%29 Nov →
train12–120.0129%29 Nov →
dust213–9-0.0220%29 Nov →
dust213–90.0534%29 Nov →
mirage8–13-0.087%27 Nov →
anubis13–5-0.0617%22 Nov →
ancient12–12-0.0129%22 Nov →
train13–50.1240%16 Nov →
mirage2–9-0.0950%16 Nov →
mirage13–40.0144%15 Nov →
dust24–13-0.0430%15 Nov →
train1–13-0.0550%15 Nov →
train12–12-0.0422%14 Nov →
train13–10.1028%14 Nov →
train5–13-0.0327%14 Nov →
dust213–110.0322%13 Nov →
ancient1–13-0.0742%13 Nov →
nuke13–90.0437%10 Nov →
anubis13–30.0533%1 Nov →
inferno13–40.1022%1 Nov →
dust26–5-0.1030%1 Nov →
ancient12–12-0.0333%31 Oct →
mirage13–40.0629%31 Oct →
dust213–60.0423%31 Oct →
mirage9–20.0214%30 Oct →
vertigo13–10.0721%30 Oct →
mirage8–13-0.0434%30 Oct →
dust213–7-0.0320%30 Oct →
ancient5–130.0225%29 Oct →

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.