the squirrel

the squirrel — CS2 Stats

76561197970421091[U:1:10155363]Steam profile ↗✓ No bans

1,217Tracked matches56%Win rate2020Tracked since
CSDB Rating5.5 SolidClutch Specialist
Premier CS Rating17,161Purple band · top ~19.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 17,161 +1,284 25 May – 28 Sept · 35 days played
14,16817,795peak 17,79525 May28 Sept
18,089Peak Premier in tracked matches
42Days played since 2026-05-25

Premier CS Rating

  • 634 below peak (17,795)
  • +2,077 over 30 days · improving
  • +2,993 over 90 days
  • Next: Pink band at 20,000 — 2,839 to go
  • Reached: 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.GGthe squirrelFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,161 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning53
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLTLLTWWWWL

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · +7.4pp headshot accuracy · −54ms reaction

Win rate down 30pp 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 545ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 540ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 567ms

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 (+3.3 against its own average).

Aim5.4
Utility6.7
Positioning5.3
Opening Duels3.0
Clutch9.4

Reliable in 1v1s

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

NiKo

Plays most like NiKo 73% 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. 591ms 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

Aim5.4
Positioning5.3
Utility6.7
Mechanics5.6
Opening Duels2.7
Win Impact6.9

Composite 5.5/10 (Solid), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time582ms−30ms
first ⅓ avg 612ms → last ⅓ avg 582ms
Headshot accuracy13.6%+0.6%
first ⅓ avg 13.0% → last ⅓ avg 13.6%

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

0.25Best match rating · 9–1 · inferno, 19 Sept →
31%Best headshot accuracy · 12–16 · dust2, 8 Jun →
438msFastest reaction time · 9–1 · inferno, 19 Sept →
13–1Biggest win · ancient, 23 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 67% over 6mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.00
ancientC177–1041%-0.02
anubisD165–1131%-0.01
infernoB115–645%0.01
nukeA117–464%-0.01
mirageD72–529%-0.00
cacheS64–267%-0.04
overpass—44–0100%0.00
vertigo—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
58%Win rate
0.88Avg K/D
68.4ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis667%0.8013.3
Ancient540%0.6811.2
Dust2425%0.7612.5
Cache4100%0.8314.5
Nuke450%0.8715.0
Inferno2100%0.7411.5
Overpass1100%1.1219.0

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.

13.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.9%Spray accuracy
75.2%Counter-strafing
12.5°Preaim
591msReaction time
45.3%T opening success
36.5%CT opening success
0.59Enemies flashed / flash
9.3%Flash assists
14.14HE damage / grenade
9.47Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4773° — above the 12° mark we flag

    Aim Training →
  2. 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 13.6478% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0219%28 Sept →
vertigo12–120.0321%24 Sept →
inferno11–13-0.0519%23 Sept →
nuke11–13-0.0810%20 Sept →
ancient15–15-0.0418%20 Sept →
cache13–11-0.079%20 Sept →
cache13–11-0.0714%19 Sept →
inferno9–10.2522%19 Sept →
inferno9–10.0622%19 Sept →
anubis14–160.0723%16 Sept →
dust25–13-0.089%11 Sept →
anubis13–5-0.0514%11 Sept →
dust213–80.048%7 Sept →
inferno11–13-0.0015%7 Sept →
ancient13–9-0.096%7 Sept →
dust213–90.0412%6 Sept →
mirage16–12-0.0412%2 Sept →
dust213–5-0.006%2 Sept →
cache13–20.006%2 Sept →
ancient13–160.0012%1 Sept →
mirage13–50.0512%1 Sept →
anubis2–13-0.034%1 Sept →
dust216–140.0122%31 Aug →
nuke13–8-0.0211%31 Aug →
nuke13–7-0.003%31 Aug →
ancient13–3-0.0121%31 Aug →
dust212–12-0.0518%30 Aug →
anubis8–130.0513%30 Aug →
dust25–13-0.067%24 Aug →
dust213–6-0.0221%23 Aug →
ancient7–13-0.006%23 Aug →
dust213–160.0418%17 Aug →
nuke13–11-0.0114%17 Aug →
dust210–13-0.049%16 Aug →
inferno11–13-0.0315%14 Aug →
ancient13–80.015%14 Aug →
dust213–100.0414%14 Aug →
ancient13–110.0013%1 Aug →
cache5–13-0.0728%1 Aug →
dust211–13-0.059%31 Jul →
anubis13–70.0416%31 Jul →
inferno13–5-0.0320%31 Jul →
ancient16–12-0.037%27 Jul →
anubis3–13-0.0517%26 Jul →
ancient9–13-0.105%20 Jul →
anubis13–90.019%20 Jul →
cache13–4-0.0111%20 Jul →
inferno8–13-0.0326%20 Jul →
dust213–70.0221%20 Jul →
ancient2–13-0.0714%20 Jul →
nuke13–11-0.0215%16 Jul →
inferno8–13-0.0621%16 Jul →
anubis13–100.018%27 Jun →
dust29–13-0.0315%27 Jun →
ancient11–13-0.057%27 Jun →
anubis10–13-0.0418%26 Jun →
dust213–40.0519%26 Jun →
dust29–13-0.0521%23 Jun →
ancient13–10.0523%23 Jun →
ancient4–130.0514%18 Jun →
dust28–13-0.077%17 Jun →
anubis10–13-0.087%17 Jun →
inferno13–100.0510%13 Jun →
nuke13–9-0.039%13 Jun →
inferno16–120.0013%13 Jun →
ancient8–130.0514%12 Jun →
overpass13–30.0614%11 Jun →
dust28–13-0.0415%11 Jun →
anubis10–13-0.0417%11 Jun →
dust213–10.0311%11 Jun →
dust213–20.1012%11 Jun →
nuke5–13-0.0511%8 Jun →
dust212–16-0.0731%8 Jun →
nuke5–130.039%7 Jun →
anubis9–13-0.0626%7 Jun →
cache12–12-0.0114%7 Jun →
mirage10–13-0.018%6 Jun →
nuke7–13-0.026%6 Jun →
anubis13–40.012%6 Jun →
dust213–80.0410%6 Jun →
mirage9–13-0.054%6 Jun →
dust211–13-0.0311%6 Jun →
anubis15–15-0.0114%3 Jun →
mirage6–13-0.0210%3 Jun →
mirage8–130.0313%3 Jun →
dust210–130.0622%2 Jun →
anubis8–130.0020%2 Jun →
ancient13–100.007%2 Jun →
nuke13–7-0.0011%1 Jun →
overpass13–110.0218%31 May →
dust213–11-0.0213%31 May →
dust215–15-0.0310%31 May →
nuke13–70.1319%31 May →
overpass16–12-0.059%28 May →
anubis7–13-0.054%28 May →
mirage11–130.0412%28 May →
ancient4–13-0.0611%28 May →
dust213–100.0615%26 May →
inferno1–13-0.0620%26 May →
overpass13–11-0.0217%25 May →

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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